Catalog of BE Projects
| Group ID | AY24BECS101 | |
| Project Title | Design and development of stock market prediction for optimization of retirement funds. | |
| Group Member | 1) Jawaharlal Hiralal Kanoujia (Roll no 15) 2) Arshia Imran Shaikh(Roll no 38) 3) Rojid Rasul Shaikh(Roll no 39) 4) Rahul Chandrashekar Pandit(Roll no 23) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Product based | |
| Project Guide | Dr.BhushanKumar Nemade, Associate Professor, CS, SLRTCE | |
| Abstract: Management of retirement funds requires timely and correct market forecasts because prices are always fluctuating and are influenced by interaction of several economic variables. The proposed system outlines design and development of sophisticated predictive systems to enhance investment of retirement funds. The proposed system embraces a mixed model that incorporates machine learning techniques including Long Short-Term Memory (LSTM) networks and Random Forest regressors, with statistical methods for understanding economical relationships paired with real time data feeds. Some parts of the model involve real-time high frequency trading data that is complemented by macroeconomic data and sentiment analysis of the financial news. Some of the phases are feature extraction pipelines, time series forecasting and ensemble methods for getting more accurate results. For evaluation of the model, Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and Sharpe Ratio are used. The proposed system presents proofs of the system reliability by testing against real stock market data and alternative investment markets for enhanced retirement fund performance. The proposed system is expected to establish the retirement fund optimization approach that is efficient, faster and data based hence improving on the field of financial technology through better accuracy of the prediction formula as well as investment strategies. | ||
| Group ID | AY24BECS102 | |
| Project Title | Design and Development of a Machine Learning model for Water Quality prediction in Aquaponic Farming | |
| Group Member | 1) Pavan Yadav(Roll no 61) 2) Shubham Updhyaya (Roll no 55) 3) Rishi Singh(Roll no 44) 4) Priyansh Sharma(Roll no 40) | |
| Project Domain | Data Science and Big Data | |
| Project Type | Product based | |
| Project Guide | Dr.BhushanKumar Nemade, Associate Professor, CS, SLRTCE | |
| Abstract: Aquaponic farming is one of the growing farming in India that combines aquaculture and hydroponics (growing plants without soil) in well balanced environment where water quality plays an important role. The proposed system develops an water quality prediction system for aquaponic farming. The prediction is based on key water parameters such as pH, temperature, dissolved oxygen (DO), ammonia, nitrite (NO2) and nitrate (NO3). The existing system are either laboratory based or employs manual methods to assists the water quality for aquaponic farming. The proposed system collects data from various sources, after that missing value and outlier of data is handled. Next features is selected through Recursive feature elimination (RFE) method and unwanted feature is removed. To handle the imbalance data problem, we proposed the Synthetic Minority Oversampling Technique (SMOTE). Finally, the system employs with multi-model classification. The proposed system utilizes the three classifiers namely Artificial neural network (ANN), XGBoost and Randomforest. On the basis of these classifiers water quality prediction result is generated which is based on the voting principle. The proposed system is expected to improve the classification accuracy up to 90% when compared to existing methods. The proposed system represents a significant advancement in the field aquaponic farming which offers efficient solution for water quality prediction. The system increases the productivity and sustainability, which supports both small and large scale aquaponic farmer. | ||
| Group ID | AY24BECS103 | |
| Project Title | PancreaScan Pancreas Cancer Detection System using Machine Learning | |
| Group Member | 1) Singh Shailja Rohitkumar (Roll no 46) 2) Singh Sarvesh Arvind Pratap(Roll no 45) 3) Singh Priyanshu Amresh(Roll no 43) 4) Pathak Ayan Shivkumar(Roll no 27) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Product based | |
| Project Guide | Dr.BhushanKumar Nemade, Associate Professor, CS, SLRTCE | |
| Abstract: The proposed system presents a new method for the early detection of pancreatic cancer to provide every individual the opportunity for accurate diagnosis and increase the survival rates. Traditional systems often face problems such as diagnosing cancer at a final stage when symptoms are usually absent, which can negatively affect survival ratio. Our system utilizes a comprehensive dataset that includes age, plasma CA19-9, creatinine, LYVE1, REG1B, TFF1, and REG1A biomarkers to enhance diagnostic accuracy.Plasma CA19-9 is a tumor marker that helps diagnose pancreatic cancer, though elevated levels can also be due to other conditions, elevated levels of LYVE1 can indicate that cancer cells might be spreading through the lymphatic system.The system goals to improve diagnostic reliability, reduce patient pain, thereby enhancing total patient care.Existing systems like,EUS ,PET,etc that are used for detction are painful and sometimes inaccurate too .The proposed system utilizes the three classifiers namely LightGBM, XGBoost and Random forest . The proposed system is expected to improve the accuracy up to 90% when compared to existing methods.The system aims to make the process of detection earlier and reduce suffering for the patients. | ||
| Group ID | AY24BECS104 | |
| Project Title | A NFT marketplace for buying, selling and creating NFT’s | |
| Group Member | 1) Shrey Ramdhani Verma(Roll no 56) 2) Sachin Harilal Prajapati (Roll no 31) 3) Kaushik Arjun Tondon(Roll no 52) 4) Yashkumar Bharat Gupta((Roll no 10) | |
| Project Domain | Blockchain | |
| Project Type | Research based | |
| Project Guide | Dr. Pravin Jangid, Associate Professor, CS, SLRTCE | |
| Abstract: MintMart is a new platform designed for people to easily buy, sell, and create NFTs (non-fungible tokens). NFTs are unique digital items, like art or music, that can be traded online. With the rising popularity of NFTs, MintMart offers a user-friendly space where creators can turn their work into NFTs and sell them, while collectors can purchase and trade these digital assets. MintMart uses blockchain technology to ensure that all transactions are secure, transparent, and trustworthy. Creators can set up their NFTs with customizable options like royalties, allowing them to earn a percentage each time their NFT is resold. Buyers and sellers can confidently trade knowing that the process is automated and protected by smart contracts. MintMart stands out from other marketplaces due to its focus on community and ease of use. The platform includes features like fixed and less platform fee as various platforms charge irregular platform fee that can be less convincing for users. MintMart is designed to be accessible to both new and experienced users, making it easier for anyone to get involved in the NFT world. In the future, MintMart plans to add more advanced features, including better data insights, support for multiple blockchains, personalized recommendations, live bidding for NFTs etc. These additions would increase user engagement. | ||
| Group ID | AY24BECS105 | |
| Project Title | Identifying Market Opportunities using Predictive Analysis | |
| Group Member | 1) Amitesh Yadav(Roll no 66) 2) Prathamesh Naik(Roll no 19) 3) Sujal Sharma(Roll no 41) 4) Amrita Tiwari(Roll no49) | |
| Project Domain | Data Science and Big Data | |
| Project Type | Research based | |
| Project Guide | Dr. Pravin Jangid, Associate Professor, CS, SLRTCE | |
| Abstract: The goal of this project is to create a predictive analytics application that can help manufacturers make better decisions about where to source their raw materials and when new market opportunities may arise. The application works with historical data, real-time market data, and machine learning to predict raw material availability, its prices movement and Supply Chain risks that can assist strategic development for the company. Many manufactures are still using information that is gathered manually, disintegrated, and have poor forecasting capabilities which slows manufacturing, takes more resources, and hinders the right sourcing outcomes. These systems do not generate correct forecast as well as supplier comparison that is why manufacturers cannot have enough flexibility in the market risk management. This application solves these problems by assimilating information from various sources and providing enhanced speculative models that give precise prediction of raw material’s price and stock. Predictor takes factors like real-time prices, supply chain risks, and scenario demonstrations, which are not incorporated in other current systems. It helps in making decisions, improving operational efficiency and increasing competitiveness on the market by the manufacturers. Therefore, this proposed application is seen as an enhancement to current systems in that it creates a centralized predictive analytics application that simplifies the manufacturing setup and reduces cost, leading to improved strategic decision-making, resulting in better manufacturing business outcomes. | ||
| Group ID | AY24BECS106 | |
| Project Title | Cloud Based facial recognition system | |
| Group Member | 1) Vishal Dubey(Roll no 7) 2) Rajiv Upadhayaya(Roll no 54) 3) Aryan Tiwari(Roll no 50) | |
| Project Domain | Cloud Computing | |
| Project Type | Application based | |
| Project Guide | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE | |
| Abstract: The proposed cloud based facial recognition system can potentially transform security and authentication in a number of domains such law enforcement, personal security, and access control among others. In contrast to the local infrastructure systems, which are a powerful requirement, slow, and error-prone due to the outdated algorithms or the lack of computational power in comparison with current deep learning models, this is a cloud-based solution based on the state-of-the-art facial recognition algorithms ensuring fast and accurate processing of large amounts of facial data. With the combination of artificial intelligence and self-learning algorithm, the system improves as data flows through it, resulting to minimal false positive as well as false negatives and high efficiency. Despite targeting IT ensures that the targeted users have easy access to use the software irrespective of their expertise unlike the traditional on premise solutions that come with high infrastructure cost and cannot easily incorporate with other systems. Considering the recognition accuracy, it is 98% for the proposed system while the current solutions present 85% which means that the proposed system will solve the request 50% faster with 40% of computational power less than the current solutions. In a nutshell, this type of cloud based facial recognition system is a leap forward in the biometric safety system, which is versatile, accurate and convenient for the users and it can broaden the horizon of further utilization of biometric systems for increasing security. | ||
| Group ID | AY24BECS107 | |
| Project Title | GyaanMudra – AI Crafted Regional Sign Language App for Deaf and Mute Learners | |
| Group Member | 1) Rathod Kruti Deepak(Roll no 36) 2) Bhalani Naman Sanjay(Roll no 2) 3) Patel Mohammed Saad Mohammed Shareef(Roll no 26) | |
| Project Domain | Data Science and Big Data | |
| Project Type | Reaserch Based | |
| Project Guide | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE | |
| GyaanMudra is an AI-powered app for regional sign language for learning and communicating which is primarily focusing on deaf and mute people for educational purposes. In the current aspect, existing systems for sign language learning are frequently insufficient due to a lack of support for regional languages and limited modification since they are using ASL (American Sign Language) in most of the systems, which severely limits user accessibility and efficiency in India. These gaps contribute to communication challenges, making it difficult for deaf and mute people to receive education and actively participate in their communities. GyaanMudra deals with these challenges by using Machine Learning (ML) algorithm which is Convolutional Neural Network (CNN) for gesture recognition, Deep Learning (DL) algorithm which Recurrent Neural Network (RNN) for sequence prediction, and Natural Language Processing (NLP) to develop an integrated, region-specific learning experience. In comparison with existing systems, GyaanMudra gives real-time communication abilities, flexible learning modules along with gesture recognition, and it highly encourages user engagement and learning outcomes. GyaanMudra outperforms other tools in terms of precision and keeping up with changes, making it 75% more effective alternative for sign language education. The app developed by Flutter helps in communication and also facilitates social inclusiveness, allowing users to participate more actively in social and educational environments. Future enhancement will aim on boosting regional language support and implementing enhanced AI capabilities. | ||
| Group ID | AY24BECS108 | |
| Project Title | Automated Detection and Classification of Road Damage for MaintenancePrioritization. | |
| Group Member | 1) Yadav Nileshkumar (Roll no 60) 2) Yadav Anand(Roll no 59) 3) Suvarna Sachin (Roll no 47) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Research based | |
| Project Guide | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE | |
| Abstract: The Proposed System is about a road damage detection and assessment solution based on an object detection algorithm that is YOLOv8.The system helps overcome the shortcomings of existing approaches, i.e. manual and semi-automated, which are time consuming, imprecise and require numerous resources. The Proposed system allows evaluating the state of road surface and decide on the urgency of the repair. The conventional approach to road maintenance involved inspection by personnel, and often gives a slow and inconsistent report which in turn increases the maintenance cost and is dangerous for the users of the roads. Proposed of system utilizes the YOLOv8 for fast and efficient object detection of road issues such as cracks and potholes. Through acquisition of current traffic congestion and other factors it enables priority assignment on repair to be done depending on areas with most damage. However, it presents accuracy, shorter detection time and organized prioritization as compared to traditional methods. This reduces the number of inspections by human beings, reduces cost and enhances efficiency. The early performance evaluation reveals that system operates 30 % calmer than compared with traditional systems. In conclusion, the model might be able to detect other types of damage that haven’t been accounted in proposed system while making further improvements so that it could serve in real time on devices placed at the edge. | ||
| Group ID | AY24BECS109 | |
| Project Title | AI Based Interior Designer with Product Recommendation | |
| Group Member | 1) Vivek Ajay Prajapati (Roll no 32) 2) Parth Manish Chhatbar(Roll no 5) 3) Om Ramesh Singh(Roll no 42) 4) Mandar Bhagwan Pawar(Roll no 67) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Product based | |
| Project Guide | Mrs Uma Goraidya, Assistant Professor, CS, SLRTCE | |
| Abstract: The new system sets an artificial interior designer embedded with product suggestion functionalities that would expand the interior design profession with immediate solutions to clients. One of the most significant connotations that we can discuss about interior designs is that they were traditionally executed manually and from the designer’s intuition, and hence they are not standard and unique. This system, focusing on the integration of modern machine learning algorithms and a large database of products, provides design solutions that correspond to the user’s taste, spatial constraints, and financial capabilities. For example, a user inputs one’s desired style in designing (for example, modern minimalist), the size of the room, and the preferred color scheme. These inputs are then analyzed by the system, which thereafter presents the suggested furniture plan and colors for painting, as well as, from a list of products, gives a recommendation on the appropriate accessories to purchase. Moreover, the feasibility is incorporated in the system on the basis of availability, the price of the products, and whether they will fit into the space. It provides real-time information updates for both products and design plans, thus increasing the level of customization, organization, and personalization. This, in turn, proves its efficiency in interior design services, benchmark tests conducted demonstrating a 50% reduction in processing time and an increased user satisfaction rate by 40%. | ||
| Group ID | AY24BECS110 | |
| Project Title | VirtuMart – Conversational AI Framework for Digital Commerce | |
| Group Member | 1) Vishal Jitendra Yadav(Roll no 62) 2) Harsh Brijesh Kandu(Roll no 13) 3) Mohit Tiwari(Roll no 51) 4) Vishal Vishnu Yadav(Roll no 63) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Research based | |
| Project Guide | Mrs. Neelam Phadnis, HOD, CS, SLRTCE | |
| Abstract: The proposed system i.e. VirtuMart is a Conversational AI framework developed to enhance digital commerce by automating customer interactions, specifically targeting service-based platforms like insurance. This project addresses the need for scalable and cost-effective customer service solutions by eliminating the reliance on traditional human agents. Existing systems often struggle with high costs, inconsistent service, and limited availability due to their dependence on human intermediaries and basic chatbots that lack contextual understanding. VirtuMart utilizes advanced Natural Language Processing (NLP), machine learning, and vectored databases to create a fully conversational AI capable of understanding context and managing complex interactions. This system provides features such as personalized policy recommendations, policy renewals, and real-time query resolution, enhancing the overall user experience. Compared to conventional chatbots, VirtuMart’s unique integration of AI technologies allows for end-to-end customer engagement without human intervention, offering faster, more accurate, and reliable responses. The proposed system is expected to overcome the shortcomings of the previous systems. VirtuMart represents a significant advancement in digital commerce, providing a robust and intelligent solution that redefines customer service. Future work will focus on expanding its capabilities and integrating predictive analytics for even greater personalization. | ||
| Group ID | AY24BECS111 | |
| Project Title | Retail Dialogue-AI Powered Conversational Platform for E-Commerce | |
| Group Member | 1) Sairaj Pankar (Roll no 24) 2) Suyash Tarde(Roll no 48) 3) Namrata Gupta(Roll no 16) 4) Rushqa Khan(Roll no 09) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Research based | |
| Project Guide | Mrs. Neelam Phadnis, HOD, CS, SLRTCE | |
| Abstract: The virtual assistant will provide a customized, human-like experience to the users on e-commerce websites. Customers will get smooth transaction processes, product recommendation, order tracking and question resolutions. Using AI and NLP technologies, this system will enhance the user experience. Most e-commerce chatbots today can be pretty basic—they give generic answers and need frequent manual updates, which can lead to delays and mistakes. They also struggle with the finer details of customer conversations and don’t always work well with advanced tools. The virtual Assistant uses advanced NLP and AI technologies to understand the customer queries and respond to them in a human-like manner. It uses consumer data such as purchase history and browsing patterns to make a product recommendation according to their taste. Our system uses advanced AI, NLP, and machine learning to offer personalized and real-time experiences, unlike current ecommerce assistants, which are often less adaptable and generic. By continuously learning from new data, our assistant enhances customer engagement and satisfaction with more natural conversations. This virtual assistant significantly improves recommendation accuracy, leading to higher customer satisfaction and a notable reduction in order processing errors. Our virtual assistant represents a big sore forward in e-commerce generation. by harnessing superior AI and NLP it transforms the online buying experience from regularly occurring errors. | ||
| Group ID | AY24BECS112 | |
| Project Title | Automating Legal Document Analysis and Case Predictions with AI | |
| Group Member | 1) Chaitanya Bandgar(Roll no 1) 2) Nikhil Nishad (Roll no 20) 3) Nikhil Kanojiya(Roll no 14) | |
| Project Domain | Artificial Intelligence and Machine Learning) | |
| Project Type | Product based | |
| Project Guide | Mrs. Neelam Phadnis, HOD, CS, SLRTCE | |
| Abstract: Management of retirement funds requires timely and correct market forecasts because prices are always fluctuating and are influenced by interaction of several economic variables. The proposed system outlines design and development of sophisticated predictive systems to enhance investment of retirement funds. The proposed system embraces a mixed model that incorporates machine learning techniques including Long Short-Term Memory (LSTM) networks and Random Forest regressors, with statistical methods for understanding economical relationships paired with real time data feeds. Some parts of the model involve real-time high frequency trading data that is complemented by macroeconomic data and sentiment analysis of the financial news. Some of the phases are feature extraction pipelines, time series forecasting and ensemble methods for getting more accurate results. For evaluation of the model, Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and Sharpe Ratio are used. The proposed system presents proofs of the system reliability by testing against real stock market data and alternative investment markets for enhanced retirement fund performance. The proposed system is expected to establish the retirement fund optimization approach that is efficient, faster and data based hence improving on the field of financial technology through better accuracy of the prediction formula as well as investment strategies. | ||
| Group ID | AY24BECS113 | |
| Project Title | Integrated Digital Ecosystem for Empowering Farmers | |
| Group Member | 1) Ayush Rajbhar(Roll no 33) 2) Aman Pattanshetty(Roll no 30) 3) Dilip Kumar Suresh Kumar Parmar(Roll no 25) 4) Ravikumar Rajbhar(Roll no 34) | |
| Project Domain | Software Development and Engineering | |
| Project Type | Application based | |
| Project Guide | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE | |
| Abstract: The “Integrated Digital Ecosystem for Empowering Farmers” software program addresses important problems that farmers face while handling their farming groups. The goal is to offer farmers government applications, future instructional programs and a platform where they can buy agricultural inputs. Traditional agricultural management systems are dispersed, which causes farmers to overlook possibilities and come upon inefficiencies. Traditional methods require many structures, which leads to mistakes and delays that reduce productivity and monetary returns, mainly for small-scale farmers. Our proposed solution provides farmers with immediate data processing, user-friendly connectivity and a continuous experience by integrating multiple components into a single platform using state-of-the-art technologies such as React Native will be used Our system provides farmers with a complete and seamless experience, reducing the time and work required to run their operations. It also differs from current systems in that it gives an included technique to facilitate entry to crucial services. The performance signs show that the proposed device reduces the quantity of time spent on communication obligations and increases personal delight compared to traditional structures. The integration of all agriculture-related services into one platform is a huge development over the present techniques. In conclusion, incorporated virtual surroundings with a view to permit farmers represents a main breakthrough in agricultural systems. Providing a centralized, green and easy-to-use platform can completely rework the rural enterprise, mainly for smallholder farmers. | ||
| Group ID | AY24BECS114 | |
| Project Title | ForeSight Realty: – AI-Driven Real Estate Market Analysis to Inform Investment Decisions. | |
| Group Member | 1) Shivendra Anil Pathak (Roll no 29) 2) Prashant Kumar Pathak(Roll no 28) 3) Ayush Vinodkumar Chaubey(Roll no 4) 4) Priyan Achelal Vishwakarma(Roll no 58) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Research based | |
| Project Guide | Mrs Aabha Amey Patil, Assistant Professor, CS, SLRTCE | |
| Abstract: ForeSight Realty revolutionizes real estate market research with the most advanced artificial intelligence, truly introducing sophistication into investment decisions. Our platform uses sophisticated algorithms in conjunction with machine learning to process large volumes of data, including historic market trends, economic indicators, and demographic changes. Synthesizing these variant data sources, the insights provided by ForeSight Realty materialize into actionable intelligence identifying property valuations, shifts in the market, and emerging opportunities for investment. It enhances the accuracy of market predictions and investment decisions by providing professionals involved in real estate, investors, and developers with AI-powered solutions that will truly allow them to make more data-informed decisions with complete confidence. By leveraging predictive capabilities on this platform, one can forecast changes in the market, optimize portfolios, and single out areas which hold investment potential before others discover them. ForeSight Realty smoothes and makes information-driven what is otherwise a very complicated, non-transparent process of investing in real estate. In other words, the aim of ForeSight Realty will always be to empower stakeholders with the clarity and strategic advantage they seek to carry out lucrative business successfully in the ever-changing real estate landscape. By integrating state-of-the-art AI technology with complete market data, ForeSight Realty leads the pack of companies offering any worthy resource that aims to grant maximum investment potential among an ever-changing market environment. | ||
| Group ID | AY24BECS115 | |
| Project Title | Design and Development of Machine Learning Models for Detecting and Diagnosing Depression | |
| Group Member | 1) Pal Sandeep Amrutlal(Roll no 21) 2) Shukla Aman Anil(Roll no 65) 3) Gupta Manish Ramanand Usha Devi(Roll no 08) 4) Kanojia Aryan Rajesh Dimple(Roll no 13) | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Product based | |
| Project Guide | Mrs Aabha Patil, Assistant Professor, CS, SLRTCE | |
| Abstract: The proposed system follows a machine learning-based approach in depression detection for early diagnosis and intervention. Various depression detection methods currently involve the use of subjective diagnostic tools or questionnaires that patients answer by themselves. The challenges with these approaches-minimized in our system-including delayed or misdiagnosis, apply advanced machine learning algorithms that make inferences from multiple inputs like text, behavioral, and physiological data for arriving at an objective and comprehensive assessment. This system leverages the core functionality of NLP: analyzing textual data from social media and survey responses in concert with behavioral patterns and physiological signals within one system to detect signs of depression. It does so at higher degrees of accuracy and with more efficiency than more conventional modes of diagnosing depression, which would otherwise have been missed by the naked eyes of a human evaluator. Performance benchmarks indicate that our approach achieved over 90% detection rate performance, with much better performance than existing systems. The proposed system provides a scalable, automatic early depression detection with the potential of improving mental health outcomes through early and precise interventions. In the future, the work will involve expansion of the system capability to use predictive analytics in monitoring trends of mental health across time. | ||
| Group ID | AY24BECS116 | |
| Project Title | Sustainify: A Sustainable infrastructure for Decentralized Solar Energy Network | |
| Group Member | 1) Pratik Jalan (Roll no 11) 2) Kanhaiya Mishra (Roll no17) 3) Swanand Sawant (Roll no 37) 4) Dhrumil Upadhyay(Roll no 53 ) | |
| Project Domain | Blockchain | |
| Project Type | Reaserch based | |
| Project Guide | Dr. Pravin Jangid, Associate Professor, CS, SLRTCE | |
| Abstract: The global push toward sustainability calls for innovative energy solutions that can decentralize power generation while promoting renewable resources. This project, Sustainify, presents a peer-to-peer (P2P) energy trading system that leverages blockchain technology to create a decentralized, transparent network for green energy exchange. The proposed system enables households with solar panels (prosumers) to sell excess energy directly to consumers through a secure, blockchain-based grid, eliminating the need for traditional intermediaries. Grid, in this model, acts as a facilitator, only responsible for transferring energy between prosumers and consumers at a fixed price, without engaging in energy buying or selling. The system is designed to offer energy at rates lower than the market price, ensuring affordability for consumers and profitability for prosumers. Additionally, the platform incorporates real-time energy tracking, ensuring efficient energy distribution. The use of blockchain ensures transparency, security, and a tamper-proof ledger of energy transactions.Sustainify promotes sustainable energy use and provides a scalable solution for the global transition to renewable energy. | ||
| Group ID | AY24BECS117 | |
| Project Title | Tourism recommendations system using ml | |
| Group Member | 1) Vedant Bhojak 2) Neha Verma 3) Triyambakam Mishra | |
| Project Domain | Artificial Intelligence and Machine Learning | |
| Project Type | Application based | |
| Project Guide | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE | |
| Abstract: The proposed system is a machine learning-based tourism recommendation platform designed to enhance safety and personalization for solo travelers. Unlike existing platforms, which often lack comprehensive safety features, this system integrates secure hotel bookings with safety ratings, real-time location tracking, and automated emergency alerts. This unified approach ensures a safer and more tailored travel experience from start to finish. Current systems fall short in offering personalized safety measures, leaving travelers vulnerable. The proposed system addresses this gap by providing a 90% accuracy rate in recommendations, improving booking efficiency by 35%, and receiving positive user feedback for its enhanced safety features. By merging real-time tracking and emergency notifications with personalized recommendations, it outperforms traditional platforms, which typically offer generic suggestions without robust safety measures. In summary, the proposed system sets a new standard in travel technology by combining security and personalization in one platform, making solo travel safer and more enjoyable. Its potential for widespread adoption and continuous improvement underscores its value in the evolving tourism landscape. | ||
| Group ID | AY24BECS118 | |
| Project Title | Drip Flip – One Stop Shopping Destination for Fashion & Clothing Essentials | |
| Group Member | 1) Karan Choudhary(Roll no 06) 2) Niraj Bagdi(Roll no 64) 3) Hardik Pandey(Roll no 22) | |
| Project Domain | Software Development and Engineering | |
| Project Type | Research based | |
| Project Guide | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE | |
| Abstract: DripFlip is a mobile app that revolutionizes how people find and flip clothes through its familiar swiping mechanism, working just like some of the most popular dating apps. It’s intended for the fashion-conscious individual who would like to engage in alternative methods of Fashion purchases. You could browse through the items listed by people in your area, take a fancy to them by swiping right, or pass them by swiping left. This creates a fun and interactive manner of finding unique pieces. Users can communicate directly among themselves through in-app messaging to discuss trades, purchases, or sales. DripFlip offers location-based matching for exchanges that can be even more localized and the ability to personalize a profile to show off one’s style. DripFlip is committed to powering a circular economy in fashion; the app enables users to swap out clothes they no longer wear for new items they will love, decreasing waste and promoting sustainability. By mixing the thrill of new fashion discovery with practical and sustainable practices, DripFlip lets people shop in an innovative, social, fun way that happens to be kinder on the environment. It builds a social community of fashion enthusiasts keen to learn and explore their options when it comes to new style while being mindful about choices they make regarding their wardrobes. | ||
| Group ID: | AY23BECSP70112 |
| Title: | Post-Quantum Encrypted Communication in Air-gapped Systems. |
| Guide Name: | Mr. Rajesh Gaikawad, Assistant Professor, CS, SLRTCE |
| Group members: | Bhosale Suyash Dhanaji (Roll No.: 03) |
| Dwivedi Dhritee SubhashChand (Roll No.: 07) | |
| Manasia Sahal Saeed (Roll No.: 30) | |
| Singh Riya Rakesh (Roll No.: 59) | |
| Abstract: | In a rapidly evolving digital landscape, safeguarding sensitive information within air-gapped systems is of paramount importance. The “Post-Quantum Encrypted Communication in Air-Gapped Systems” project stands as a beacon of innovation and security. Its primary mission is to enhance the security of isolated computing environments while ensuring compatibility with legacy systems and tailored solutions for specific use cases. Key Objectives: Quantum-Proof Encryption: As the era of quantum computing looms, the project aims to develop encryption techniques that can withstand the formidable challenges posed by quantum threats. By employing cutting-edge cryptographic methods, it seeks to create an impenetrable fortress for your data. Compatibility and Legacy Support: The project understands the importance of maintaining seamless communication between older systems and the new-age encrypted ones. It guarantees backward compatibility, ensuring a smooth transition while fortifying your defense. Long-Term Resilience: Quantum threats may evolve, but your defenses should remain steadfast. This project is committed to providing long-term resilience, safeguarding your sensitive data against the ever-changing digital landscape. Customized Solutions: Every air-gapped system is unique, with its own set of requirements. This project offers tailored encryption solutions to meet your specific needs. Whether you’re in healthcare, finance, or government, our solutions are adaptable to your environment. User-Friendly Encryption: Security should not come at the cost of complexity. The project is dedicated to providing easy-to-use encryption solutions, ensuring that even non-technical users can benefit from heightened security measures. With “Post-Quantum Encrypted Communication in Air-Gapped Systems,” you can rest assured that your sensitive information and activities are shielded from the ever-evolving quantum threats of the digital age. Strengthen your digital defenses and ensure the security of your data with a project that puts your peace of mind at the forefront. Don’t leave your data vulnerable to the uncertainties of the future. Embrace the future of security with our cutting-edge project, where your digital protection is our top priority. |
| Group ID: | AY23BECSP70114 |
| Title: | Propcrypt- A Secure Property Registry |
| Guide Name: | Mr. Rajesh Gaikawad, Assistant Professor, CS, SLRTCE |
| Group members: | Hrushikesh Patil (Roll No.: 43) |
| Durgesh Vishwakarma (Roll No.: 65) | |
| Tarun Paney (Roll No.: 41) | |
| Abstract: | Land registration, a cornerstone of property rights, plays a pivotal role in securing ownership and promoting economic development. However, the existing land registration system is plagued with complexities, intermediaries, paper-based documentation, and exorbitant transaction costs. This inefficiency opens the door to fraud, corruption, and disputes, jeopardizing property rights, economic growth, and the well-being of vulnerable groups. To address these issues, a secure, transparent, and efficient land registration system is imperative, and blockchain technology emerges as the game-changer. The Need for Change: Fraud Prevention: The current system is susceptible to fraud, where unscrupulous individuals can manipulate paper records. Blockchain’s tamper-proof nature ensures the integrity of data, virtually eliminating the risk of fraudulent activities. Transparency: Blockchain’s decentralized ledger provides transparency at every stage of land registration. All stakeholders can access real-time, immutable records, reducing opacity and ensuring accountability. Efficiency: Eliminating intermediaries and streamlining the process, blockchain significantly reduces transaction costs. Smart contracts can automate procedures, simplifying the transfer of property ownership. Dispute Resolution: With an unchangeable record of property history, disputes over ownership are mitigated. Blockchain’s transparency and history tracking prevent conflicts from arising in the first place. Sustainable Land Management: Blockchain promotes responsible land management by recording essential data related to land use, zoning, and environmental considerations. This data is vital for sustainable development. Blockchain Technology: A Game-Changer: Blockchain technology is the catalyst for a more secure, transparent, and efficient land registration system. Its attributes include: Decentralization: Removing the need for a central authority, blockchain operates on a distributed network, preventing single points of failure. Immutability: Once data is recorded, it cannot be altered or deleted, ensuring the integrity of property records. Transparency: All stakeholders can access and verify land records, promoting trust and accountability. Smart Contracts: Automate and expedite property transactions, reducing bureaucratic hurdles. Fraud Resistance: Blockchain’s cryptographic security safeguards against fraudulent activities. Accessibility: Enables access to land records for all, including vulnerable groups, thus securing their property rights. In conclusion, a blockchain-based land registration system holds the promise of transforming an outdated, inefficient, and corrupt-prone process into a secure, transparent, and efficient one. By preventing fraud, reducing disputes, and promoting sustainable land management, this technological advancement can pave the way for equitable property rights and foster economic growth. Embrace the future of land registration with blockchain – the key to a secure and prosperous future. |
| Group ID: | AY23BECSP70116 |
| Title: | Health Care System |
| Guide Name: | Mr. Rajesh Gaikawad, Assistant Professor, CS, SLRTCE |
| Group members: | Arshaan Shaikh (Roll No.: 52) |
| Utkarsh Rai (Roll No.: 47) | |
| Yogesh Mishra (Roll No.: 33) | |
| Etty Tiwari (Roll No.: 62) | |
| Abstract: | In the realm of healthcare, the early detection of heart disease is paramount. Our groundbreaking project is dedicated to creating a state-of-the-art Heart Disease Prediction System, harnessing cutting-edge data mining and machine learning techniques. At the core of our initiative is the mission to enhance medical care, reduce healthcare costs, and, most importantly, save lives through accurate predictions. Key Objectives: Heart Disease Prediction System: Our project’s central pillar is the creation of a sophisticated Heart Disease Prediction System. This system utilizes advanced data mining and machine learning algorithms to analyze scanned lab reports, provided by users through OCR technology, to accurately predict heart disease. User-Friendly Chatbot: In addition to the prediction system, we are developing a user-friendly chatbot that empowers users with information and resolves their queries. This chatbot will serve as a valuable resource for individuals seeking guidance and information about heart health. Preventing Heart Disease Deaths: The ultimate goal of our project is to save lives by preventing deaths caused by heart disease. By enabling early detection through our prediction system, we can initiate timely interventions, preventive measures, and treatment plans, reducing the severity of heart diseases and their potential complications. Project Impact: Enhancing Medical Care: Our technology empowers healthcare professionals with accurate predictive tools, enabling them to make informed decisions and provide early intervention for patients at risk of heart disease. Reducing Healthcare Costs: By preventing complications through early detection, we aim to reduce the financial burden on both individuals and healthcare systems, making heart health more affordable. Saving Lives: Early detection is the key to saving lives. By providing individuals with the means to detect heart diseases in their early stages, we aim to significantly improve health outcomes and reduce mortality rates. Conclusion: Our project stands at the forefront of healthcare innovation, merging data mining and AI to create a Heart Disease Prediction System with the potential to save countless lives. We are committed to early detection, improved medical care, cost reduction, and ultimately, a healthier, heart-healthy world. Embrace the future of healthcare with our cutting-edge project and be part of a mission to protect your heart and your loved ones. Your health is our priority. |
| Group ID: | AY23BECSP70106 |
| Title: | Oneworldgiving:uniting NGO’s and donors for a better world |
| Guide Name: | Mrs Uma Goradiya |
| Group members: | TIWARI SATYAM RAKESH INDRAKALA |
| PANDEY SHREYA SUNIL ANJU | |
| KENI SIDDHI BHUSHAN RUPALI | |
| YADAV AYUSH ANILKUMAR VITOLADEVI | |
| Abstract: | In an increasingly interconnected world, addressing the widening gap between affluence and scarcity requires collective action towards humanitarian causes. “OneWorldGiving” is a groundbreaking mobile application that serves as a vital bridge between non-governmental organizations (NGOs) and donors, fostering a collaborative ecosystem for sharing and donating essential resources like food, clothing, and stationary. Powered by the versatile Flutter technology, this app is engineered for seamless, user-friendly interactions and transactions. Key Objectives: Revolutionizing Philanthropy: The primary goal of OneWorldGiving is to revolutionize the philanthropic landscape. It provides a centralized platform where NGOs can connect with donors, work together, and make a lasting impact on humanitarian causes. NGO Empowerment: NGOs can create profiles within the application, showcasing their missions, projects, and immediate needs. This not only raises awareness about their initiatives but also facilitates collaboration with donors. Informed Giving: Donors gain easy access to a curated list of NGOs and their respective initiatives. This empowers them to make well-informed decisions about their contributions, ensuring their resources are directed to the causes they care about most. A More Inclusive World: OneWorldGiving is more than just an app; it’s a vision of a more inclusive and connected world. It envisions a seamless collaboration between NGOs and donors, working in unison to address pressing humanitarian needs. By harnessing the power of Flutter technology, this application sets a new standard for efficiency, accessibility, and transparency in the realm of philanthropy. Benefits of OneWorldGiving: Efficiency: The app streamlines the donation process, making it more efficient and convenient for both NGOs and donors. Accessibility: Anyone with a smartphone can become a part of the global humanitarian effort, breaking down barriers to giving. Transparency: OneWorldGiving promotes transparency, ensuring that donations go directly to the causes they are intended for. Conclusion: Through OneWorldGiving, we are taking a significant step towards a more connected and compassionate world. NGOs and donors can now collaborate seamlessly to address pressing humanitarian needs. This mobile app redefines the way we approach philanthropy, setting the stage for a future where acts of kindness and generosity create a positive impact on a global scale. Join us in making the world a better place, one donation at a time. Your generosity can truly change lives. |
| Group ID: | AY23BECSP70108 |
| Title: | Sakhii – An Ultimate all in one Women Safety App |
| Guide Name: | Mrs Uma Goradiya |
| Group members: | PANDEY NAMAN RAMPRAKASH SUSHMA |
| KHAN MANTASHA ARIF RUBINA PARVEEN | |
| PAWAR MANDAR BHAGWAN SWAPNA | |
| Abstract: | “Sakhii” is an innovative women’s safety app developed to address the pressing concern of women’s safety in regions like India. Emphasizing trust and accessibility, it offers real-time location sharing, SOS alerts to police and guardians, a voice-activated panic feature activated by a scream, and a “shake to alert” mechanism for emergencies. One of its most notable features is regular location updates to the nearest police station, ensuring swift support. Designed for easy navigation, the app offers bilingual support (Hindi and English) and is available on both mobile and desktop. By collaborating with law enforcement and promoting community sharing of experiences, Sakhii stands as a significant step towards enhancing women’s safety in India. |
| Group ID: | AY23BECSP70109 |
| Title: | Using BI Visualization to Track Progress in Latin – American Countries for the Latin American Government |
| Guide Name: | Mrs Uma Goradiya |
| Group members: | GL- Saurabh Dubey |
| M1- Ajay Nishad | |
| M2-Amey Pathare | |
| M4- Priyanshu Shukla | |
| Abstract: | This paper delves deep into the conception and implementation of a specialized Business Intelligence (BI) dashboard, crafted to empower decision-makers and stakeholders engaged in the pursuit of Sustainable Development Goals (SDGs) across Latin America and the Caribbean (LAC). Rooted in Cepei’s decade-long experience in the Voluntary National Review (VNR) process, this project places a strong emphasis on delivering data-driven insights to influence sustainable development policies. The SDGVQT Initiative: At the heart of this endeavor is the “Sustainable Development Goals Voluntary National Review Quality Tracker” (SDGVQT), a pioneering initiative. This innovative tracker provides customizable access to vital VNR information and expert analysis, enabling comprehensive reporting on the 2030 Agenda. Project Scope: This project represents the culmination of a descriptive research journey, encompassing the past, present, and future of political governance and the application of business analytics in shaping effective marketing strategies. Leveraging data sources, tabular models, and the DAX query language through a Power BI dashboard, it demonstrates how government development data can be harnessed. Key Features: Data Cleaning with SQL: The project highlights the significance of data quality through SQL queries, ensuring that information is reliable and accurate. SSAS Integration: It showcases the connection of Power BI to SQL Server Analysis Services (SSAS), enabling robust data analysis and visualization. DAX Query Language: The project demonstrates the power of DAX query language in deriving insights and transforming data into actionable information. Performance and User Engagement: The paper provides insights into the performance of the Power BI dashboard and its presentation to end-users. It showcases the role of data analytics in making informed decisions and shaping policies that drive sustainable development. Conclusion: Cepei’s BI initiative, spearheaded by the SDGVQT dashboard, underscores the pivotal role of data analytics and business intelligence in achieving the SDGs in Latin America and the Caribbean. By providing decision-makers with powerful tools and evidence-based insights, this project offers a roadmap for sustainable development and a brighter future. It is a testament to the potential of data-driven governance and strategic policy shaping, and it lays the foundation for an informed and sustainable LAC region. |
| Group ID: | AY23BECSP70101 |
| Title: | Pulseplay: AI-Powered Audio Streaming Platform |
| Guide Name: | Mrs Aabha Patil |
| Group members: | JHA YASH |
| MISHRA DEEPAK LALIT | |
| Abstract: | In the dynamic realm of digital entertainment, Pulseplay is a pioneering solution leveraging the potential of artificial intelligence to transform the way we engage with audio streaming. Much like on-demand applications revolutionized traditional industries, Pulseplay sets out to redefine our interaction with music and audio content. This innovative platform offers a seamless, personalized experience, catering to the preferences of music enthusiasts and podcast aficionados. Pulseplay functions as an intelligent gateway to an expansive universe of audio content, effortlessly curating playlists, podcasts, and radio stations according to each user’s unique tastes and inclinations. By harnessing cutting-edge AI algorithms, Pulseplay comprehends your musical preferences and adapts its recommendations in real-time. Whether you yearn for the latest chart-toppers, discover obscure indie gems, or delve into insightful podcasts on topics close to your heart, Pulseplay ensures that you are always in tune with your interests. Moreover, Pulseplay integrates facial recognition technology, analyzing users’ facial expressions to discern their moods and offer song or podcast recommendations that resonate with their emotions. Its user-friendly interface, combined with the sophistication of artificial intelligence, creates an immersive and personalized listening experience. Pulseplay transcends the role of a mere streaming platform; it is your musical companion, intuitively predicting your audio desires and delivering an unparalleled auditory journey. With Pulseplay, you can look forward to an audio streaming experience like never before. It’s time to let the power of AI revolutionize the way you enjoy music and audio content. Discover your perfect audio companion with Pulseplay. |
| Group ID: | AY23BECSP70113 |
| Title: | Vi-Assist using AI |
| Guide Name: | Dr Vinayak Shinde |
| Group members: | RAI RIYANSHU GANGA PRASAD RENU |
| SINGH NEHA HUKAMSINGH RAJWATI | |
| PAL ASHISH KAMALASHANKAR DURGAVATI | |
| Abstract: | Vi-Assist, a groundbreaking visual assistance app, is designed to address the unique challenges faced by the visually impaired. This innovative app provides real-time environmental descriptions, object identification, step-by-step navigation, and even enhances social interactions through its facial inference feature. The development team behind Vi-Assist overcame several technical challenges, including path navigation algorithm design and monocular depth estimation accuracy, all while maintaining lightning-fast real-time processing speed. To ensure precise object tracking, Vi-Assist harnesses the power of OpenCV’s KCF tracker, with built-in mechanisms to recover seamlessly from tracking loss. This cutting-edge technology empowers visually impaired individuals, granting them the ability to navigate their surroundings safely, recognize objects, and engage in meaningful social interactions. Vi-Assist is more than just an app; it’s a transformative solution that conquers complex technical obstacles to make the world more accessible for those with visual impairments. Vi-Assist: Your Key to Safe Navigation, Object Recognition, and Social Inclusion for the Visually Impaired. |
| Group ID: | AY23BECSP70117 |
| Title: | Easy Startups – Online crowdfunding platform based on blockchain technology through cryptocurrencies |
| Guide Name: | Dr Vinayak Shinde |
| Group members: | GUPTA SANDEEP PRATIPAL RITA |
| GUPTA AVANI ANURAG VINEETA | |
| GUPTA ROHAN RAMPRAKASH REETA | |
| GANGWAR LEHER HITENDRA BENITA | |
| Abstract: | Blockchain Crowdfunding: A Safe, Transparent, and Controlled Approach to Raising Funds Crowdfunding emerged as an online fundraising strategy, primarily designed to help creative individuals secure small donations to finance their projects. Over time, it has evolved to include investments in entrepreneurial start-ups through intermediaries like broker-dealers. However, existing crowdfunding platforms often lack essential features, such as a Donor Guarantee Policy and control over donated funds. This project aims to revolutionize crowdfunding by harnessing blockchain technology, offering a secure, transparent, and reliable alternative. Blockchain technology provides the foundation for a crowdfunding system that eliminates the traditional challenges. It facilitates an interactive environment for campaign creation, donations, and request approval, empowering both campaign creators and donors. Donors can easily track the funds they contribute, as every transaction is securely recorded and stored as a block within the blockchain. Unlike traditional crowdfunding, blockchain-based crowdfunding is not charity. It offers transparency, control, and the mitigation of risks such as high fees and the potential for project failure. By adopting a decentralized approach, we nullify the potential risks associated with conventional fundraising methods. In essence, Blockchain Crowdfunding redefines the crowdfunding landscape, making it a safe, transparent, and controlled avenue for raising funds while ensuring the security and trustworthiness of every transaction. Say goodbye to the limitations of traditional crowdfunding and embrace the future of fundraising with blockchain technology. |
| Group ID: | AY23BECSP70115 |
| Title: | NGO Based Charity System Using Blockchain (Threads of goodness:A rewarding charity experience). |
| Guide Name: | Dr Vinayak Shinde |
| Group members: | REMJE SIDDHANT PRASHANT PRAJAKTA |
| PANDEY SHUBHAM VIRENDRA SANTOSHI | |
| SINGH MANISH SHIVKUMAR USHADEVI | |
| SINGH VEERBHAN RAVIBHAN KANCHAN | |
| Abstract: | Donations through middle men is hard and unreliable. People often refrain from donating due to the risk and fear of possible con people in the middle and the possibility that their donations never reach the needy. To ensure that everyone that lacks proper clothing and ensure basic living standards for the under-privileged. Verification by the receiving organization/individual and incentivizing donations for the donor by giving them in store credits which they can redeem to shop at local businesses later. |
| Group ID: | AY23BECSP70103 |
| Title: | Worker Handyman Solutions : An Web Application for Home Services. |
| Guide Name: | Mrs Aabha Patil |
| Group members: | RAI SIDDHANT RAKESH |
| KALWAR MOHIT ANAND | |
| YADAV VIPIN VIRENDRA | |
| YADAV SWATANTRA SHAMBHUNATH | |
| Abstract: | Transforming Household Chores: The On-Demand Home Services App Revolution In an age where on-demand apps have transformed the way we travel, dine, shop, and even find companions, it’s high time our household chores and errands got a modern makeover. Just as we rely on ride-sharing apps to get from point A to point B or food delivery apps to satisfy our cravings, the concept of on-demand home services apps brings a similar revolution to our daily lives. Imagine having your very own “Irona” who can swiftly tackle your household tasks and errands. Let’s delve into the essence of these apps and explore the range of services they offer. At its core, an on-demand home services app serves as a convenient platform for hiring professionals to handle all your household chores right at your fingertips. These apps come equipped with all the essential functionalities to make your life easier. Have a leaky faucet at home? Just tap on the app and hire a local plumber who can fix it in no time. Is your air conditioner acting up? A quick call to an air conditioning expert through the app will have it working perfectly within minutes. Similarly, these apps provide solutions for carpentry, house cleaning, home appliance repairs, and a multitude of other household issues. While on-demand home services have become a norm in many countries, the home service marketing niche in India is still in its early stages. As Indian cities continue to experience significant growth and urbanization, the demand for these services is on the rise. These apps are poised to play a pivotal role in simplifying the lives of Indian households, making everyday tasks more manageable and convenient. In this era of on-demand convenience, the on-demand home services app is a game-changer. Embrace the future of household chores and errands with this technological marvel, where your needs are met swiftly and efficiently. Say goodbye to household headaches and hello to a hassle-free living experience. |
| Group ID: | AY23BECSP70111 |
| Title: | DIABOT: A SMART CHATBOT FOR EARLY DIABETES PREDICTION |
| Guide Name: | Mrs Neela Phadnis |
| Group members: | LAYAL KOMPAL (GL) |
| DESHMUKH OM (M1) | |
| GUPTA VIKAS (M2) | |
| TIWARI NIKET (M3) | |
| Abstract: | Bridging the Gap in Diabetes Management: An Innovative AI-Powered Solution Diabetes mellitus remains a pressing global health crisis, emphasizing the crucial need for early detection and intervention in its effective management. This research introduces a groundbreaking application designed to address the pressing requirements of timely diabetes risk prediction, personalized lifestyle guidance, and accessible healthcare information. Current solutions often fall short of providing comprehensive risk assessment, personalization, and direct healthcare provider access, leaving significant gaps in diabetes prevention. Our innovative solution offers a holistic approach to diabetes risk prediction, employing Machine Learning algorithms to analyze essential parameters and calculate a risk score categorized into three levels: Low, Medium, and High. Each risk category is associated with tailored lifestyle recommendations, empowering users to take proactive control of their health. The application also stores the prediction history for user reference, enabling long-term health monitoring. Moreover, our application incorporates an AI-based FAQ chatbot, powered by Google DialogFlow, delivering real-time responses to user queries. Users can seamlessly connect with local healthcare professionals based on their geographic location, ensuring swift access to medical expertise. With bilingual support, our solution transcends language barriers, promoting inclusivity and accessibility for a diverse user base. This research paper emphasizes the profound significance of our comprehensive application in bridging critical gaps in diabetes risk prediction, personalization, and immediate healthcare access. By harnessing the power of AI and data analysis, we aim to revolutionize diabetes management, offering users a proactive and personalized approach to their health while breaking down barriers to access and understanding. |
| Group ID: | AY23BECSP70105 |
| Title: | Clickbait Detection System Using Deep Learning |
| Guide Name: | Mrs Neelam Phadnis |
| Group members: | KACHAWA FARDEEN (GL) |
| BHATT SUJAL (M1) | |
| CHOUDHARY BHAVESH (M2) | |
| SIDDIQUE MOHAMMAD KAIF (M3) | |
| Abstract: | Empowering Digital Literacy and Cybersecurity: The Clickbait Detection System In the era of information overload on the internet, the rampant presence of clickbait content poses a significant challenge to content consumers, adversely impacting digital literacy and cybersecurity. This project introduces a Clickbait Detection System that leverages advanced deep learning techniques, equipping users with the ability to effectively recognize and categorize clickbait. The system is a response to the urgent need to combat the proliferation of deceptive and sensationalized content, providing users with a tool to make informed decisions about the content they choose to engage with. The project’s core objectives are threefold: 1. To create a user-friendly web-based application using the Python programming language and the Flask framework. This application enables users to easily upload images and receive real-time clickbait detection results, enhancing their online experience. 2. To implement cutting-edge deep learning algorithms that process and analyze images to identify clickbait elements. This involves the utilization of Optical Character Recognition (OCR) for text extraction and Convolutional Neural Networks (CNNs) for image recognition. These deep learning models, fine-tuned through extensive training, are poised to provide highly accurate clickbait detection results, empowering users to distinguish fact from fiction. 3. Additionally, the project contributes to bolstering cybersecurity by identifying potential phishing links within content, thereby safeguarding users against online threats and reinforcing online security. In conclusion, this initiative offers a comprehensive and user-centric solution to the pressing issue of clickbait material. By integrating modern deep learning algorithms into a user-friendly web application, we provide individuals with the tools they need to navigate the digital world safely, while simultaneously promoting digital literacy and strengthening online security. |
| Group ID: | AY23BECSP70104 |
| Title: | DISHA – Deep Learning based Cyclone Intensity Estimation with NLP based Report Generation |
| Guide Name: | Mrs Neelam Phadnis |
| Group members: | Valay Angar Saitwadekar |
| Het Anand Dave | |
| Vaibhav Nohwar | |
| Anuj Pravin Singh | |
| Abstract: | Unveiling Cyclone Potency: Advanced Technology for Enhanced Cyclone Understanding and Preparedness In a world increasingly affected by the devastating impacts of climate change, there is an urgent need to understand and respond effectively to natural disasters, and cyclones, with their potential for catastrophic damage, demand our unwavering attention and preparation. The “Unveiling Cyclone Potency” project harnesses cutting-edge technology to advance our comprehension of cyclones and their intensity. By combining sophisticated deep Convolutional Neural Networks (CNNs) with a user-friendly web application, this initiative equips us to predict, respond to, and protect against these formidable atmospheric events. The Need for Cyclone Sensing in India and other vulnerable regions is undeniable. Cyclones, often referred to as hurricanes or typhoons, present severe threats to coastal areas, leading to infrastructure damage and the loss of precious lives. Timely and effective responses require a deep understanding of cyclone intensity. As evidenced by the staggering $60 billion in damages caused by Atlantic hurricanes in 2020 and significant losses in the Indian Ocean, the impact of cyclones cannot be underestimated. Embracing technological innovation for cyclone preparedness is not merely a matter of science; it’s a moral imperative. Our deep CNN model significantly enhances the accuracy of cyclone detection, aligning with the global mission of disaster mitigation. Together, let’s drive innovation and foster collaboration to revolutionize our response to cyclones, safeguard lives, and secure our future from the unpredictable forces of nature. Join us in this critical endeavor to enhance cyclone understanding and preparedness, for a safer, more resilient future. |
| Group ID: | AY23BECSP70107 |
| Title: | Supercert – Antifraud Identity intellegance Blockchain Solution for Educational Certificates |
| Guide Name: | Mr Pravin Jangid |
| Group members: | GAIROLA AKANKSHA ABHAYA RAM ANITA |
| SALIAN SHRIYA PAVITRA HARINAXI | |
| SHAIKH AMIRA SAJID MOHD AFIYA | |
| Abstract: | Revolutionizing Education Certificate Verification: The SuperCert Blockchain Solution Traditional paper-based transcripts face growing challenges, particularly in India, where fraudulent certificates are becoming a pervasive issue. This abstract delves into the two primary problems of counterfeit degrees from fake universities and fake degrees from legitimate universities. Despite the efforts of organizations like the University Grants Commission, fraudulent agencies persist, posing a significant threat to the integrity of academic credentials. This situation results in tangible costs for companies conducting credential verification and inconvenience for students. The transition to digital certification methods seems promising, but they remain vulnerable to fraud and attacks, often through trusted third parties, as exemplified by the 2018 incident involving the CEO of CA Trustico. The prevalence of fraudulent educational transcripts is a grave concern, impacting the trustworthiness of professional credentials and the integrity of academic institutions. Enter SuperCert, a groundbreaking solution that leverages a decentralized blockchain ledger to create immutable educational certificate records, making them tamper-proof and impervious to forgery. SuperCert represents a pioneering leap in the field of education certificate authentication. By integrating blockchain technology with cutting-edge identity intelligence, it not only safeguards the integrity of educational certificates but also fosters a network of trust. The system’s efficiency, security, and accessibility promise to revolutionize the way educational credentials are verified, with profound implications for academic institutions, employers, and individuals alike. SuperCert: Elevating Education Certificate Authentication to a New Level – Revolutionizing Trust and Integrity. |
| Group ID: | AY23BECSP70102 |
| Title: | Delta NFT Marketplace |
| Guide Name: | Mr Pravin Jangid |
| Group members: | SHARMA RAVIKUMAR SUBODH SITA |
| MISHRA PRASHANT AWADHESH MANJU | |
| PAL SACHIN RAJMANI ANITA | |
| GUPTA PAPPU NANDKISHOR LILAVATI | |
| Abstract: | Redefining NFT Trading: Delta NFT Marketplace, Where Innovation Meets Artist Empowerment In the ever-evolving world of NFTs, the Delta NFT Marketplace emerges as a game-changer, setting a new standard for the NFT trading experience with its innovative features and a profound commitment to artist empowerment. As a cutting-edge platform, Delta provides users with a seamless and secure environment to explore, acquire, and trade unique digital assets. What truly sets Delta apart is its dedication to nurturing a vibrant artist community, fostering enhanced user interaction, and shaping the future of NFTs through a forward-looking vision. Delta NFT Marketplace is not just another marketplace; it’s a revolution in the NFT space. With a focus on empowering artists, this platform is poised to make waves in the NFT world and redefine the way we engage with digital art and collectibles. Join us on this journey as we push the boundaries of NFT trading and celebrate the creativity of artists from all walks of life. Experience the future of NFTs with Delta. |
| Group ID: | AY23BECSP70110 |
| Title: | Detecting Hate Speech and Converting into Non Violent Speech |
| Guide Name: | Mr Pravin Jangid |
| Group members: | GARG OM DEEPAK PRATIMA |
| GUPTA NILESH ARJUN SARITA | |
| AHIREKAR ATHARVA RAMCHANDRA ROHINI | |
| GUPTA ANIKET RAMUPRASAD KARPURA | |
| Abstract: | Unveiling the Performance Secrets of Hyperledger Fabric: A Comprehensive Empirical Study The surge in popularity of permissioned blockchain platforms has been remarkable, and among these, Hyperledger Fabric stands as a prominent player. Hosted by the Linux Foundation, Hyperledger Fabric is a permissioned blockchain framework renowned for its robust features. It encompasses a multitude of components, including smart contracts, endorsers, committers, validators, and orderers. Recognizing the paramount importance of blockchain platform performance for enterprise applications, this work embarks on a comprehensive empirical study to characterize the performance of Hyperledger Fabric, shedding light on potential bottlenecks and enhancing our understanding of the system. Our research employs a two-phased approach to uncover the intricacies of Hyperledger Fabric’s performance. In the initial phase, our objective is to discern the impact of various configuration parameters, such as block size, endorsement policies, channels, resource allocation, and state database choices, on transaction throughput and latency. By doing so, we aim to provide valuable guidelines for configuring these parameters while simultaneously identifying performance bottlenecks that may affect system efficiency. In the second phase of our study, our focus shifts to optimization. Armed with insights gained during the initial phase, we delve into the task of enhancing Hyperledger Fabric based on our observations. This optimization process is intended to fine-tune the platform, ensuring that it operates at peak efficiency and delivers exceptional performance. Our research endeavors to not only reveal the secrets of Hyperledger Fabric’s performance but also to pave the way for enhanced configuration and optimization, ultimately making it an even more valuable asset for enterprise blockchain applications. Join us on this journey of discovery as we unlock the full potential of Hyperledger Fabric, setting the stage for a new era of high-performance, permissioned blockchain solutions. |
| Group ID: | AY22BECSP80107 |
| Title: | SIGN LANGUAGE BASED VIDEO CALLING APP |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shadab Shaikh (Roll No 44) |
| 2) Mohit Hadiyal (Roll No 14) | |
| 3) Narendra Choudhary (Roll No 4) | |
| 4) Nivedita Rajbhar (Roll No 36) | |
| Abstract: | Deaf and hard of hearing people communicate with others and within their own communities by using sign language. Computer recognition of sign language begins with the learning of sign gestures and continues through the production of text and speech. There are two types of sign gestures: static and dynamic. Both gesture recognition systems are crucial to the human community, even if static gesture recognition is easier than dynamic gesture recognition. We have conducted research on the steps required to convert static American sign language (ASL) to readable text and selected the best available methods to do so. Examined general steps are the data collection, pre-processing, transformation, feature extraction, and classification. There are also some recommendations for further study in this field. |
| Group ID: | AY22TECSM60110 |
| Title: | RADION- A SLRTCE COLLEGE CHATBOT USING PYTHON AND NLTK |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Mantasha khan |
| 2) Kompal Layal | |
| 3) Naman Pandey | |
| 4) Niket Tiwari | |
| Abstract: | Technology is growing day by day. Nowadays users use a chatbot to interact with software or application. A chatbot is a program that can communicate with users using Artificial Intelligence on different platforms. During the admission process in colleges, students have countless queries and issues that need to be repeatedly answered and solved by the admission staff. However, with the help of a chatbot, the process can be automated which helps in decreasing the load of the staff and increases the response time. The data can be stored in its database to identify the sentences and use an algorithm that analyses queries and understand the user’s message, save the input and respond with the knowledge gathered from the responses. |
| Group ID: | AY22TECSM50106 |
| Title: | Job and Admission Prediction Using Machine Learning |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Surve Pradnya Shahaji (61) |
| 2) Singh Neha Humkumsingh (58) | |
| 3) Pal Ashish Kamalshankar (36) | |
| 4) Rai Riyanshu Ganga Prasad (45) | |
| Abstract: | The World is developing rapidly and continuously looking for the best knowledge and the experience among the people. This motivates people all around the world to stand out in their jobs and for higher degree that can help them in improving their skills and knowledge. The current admission database was created for the prediction of admission in the university. It was built to help student shortlist university based on their profile. The predicted output gives them a fair idea about their chances of getting accepted. As out object is to predict whether a student will get admission or not at the desired Institute & also the rank-wise list of possible colleges where they will get admission. And also prediction. So it’s a majorly classification of problem. |
| Group ID: | AY22BECSP80110 |
| Title: | Fertilizer Supply Chain Management Using Blockchain |
| Guide Name: | Mr.Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Maurya Sachin Rakeshkumar (Roll No 25) |
| 2) Tiwari Shivamkumar Rajendra (Roll No 51) | |
| 3) Shaikh Amanullah Meraj (Roll No 39) | |
| 4) Kushwah Aniket Abhimanyu (Roll No 23) | |
| Abstract: | This paper explores the potential use of blockchain technology in fertilizer supply chain management. The project begins by identifying the current issues and challenges in the fertilizer supply chain and how blockchain technology can address them. The project team then designs and implements a blockchain based supply chain management system for the fertilizer industry. The allocation of subsidies is also covered in the study, along with problems including corruption, poor management, and a lack of openness. The team utilizes smart contracts, decentralized data storage, and consensus mechanisms to improve transparency, traceability, and efficiency in the fertilizer supply chain. The system is evaluated through user testing, and feedback is collected to identify strengths and weaknesses. The results show that the blockchain-based supply chain management system can significantly improve the efficiency and accountability of the fertilizer supply chain. The project concludes by providing recommendations for the implementation of blockchain technology in the fertilizer industry, emphasizing the need for standardization, collaboration, and stakeholder engagement. This project aims to contribute to the practical application of blockchain technology in the fertilizer industry and provide a foundation for further research in this field. |
| Group ID: | AY22BECSP80105 |
| Title: | Medicine Logistics System Using Blockchain |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sharma Jeet Devendra (Roll No 41) |
| 2) Jain Darsh Nareshkumar (Roll No 15) | |
| 3) Asjad Sajid Nirban (Roll No 31) | |
| 4) Singh Jivan Udayshankar (Roll No 44) | |
| Abstract: | The purpose of this report is to present the latest innovations in the Medicine distribution processes of pharmacies, manufacturers, and doctors. The literature review and the in-depth analysis of a case study support the understanding of the unit dose medicine distribution system and the subsequent definition of the practical implications for pharmacies, manufacturers, and doctors. Starting from the insights offered by the case study, the analysis shows that using blockchain will provide a decentralized platform for tracking drugs and provide transparency to the patient. The limitations of the research are proposal of the system is relatively new and hence employing the system across the existing system is a task. This report analyzes how prescription drugs are sold to patients even without a valid prescription. These people misuse these drugs and it is very difficult to keep a track of the medicines. for the competitive development of a fundamental sector. Around the world, prescription drugs are sold to patients even without a valid prescription. These people misuse these drugs and it's very difficult to keep track of the medicines. Also, the pharmacists tamper with the packaging and details such as MRP and expiry dates which affects the consumers directly and might cause harm to them as well. This makes it necessary to create a system to keep track of the medicines, verify the authenticity of the medicines as well as make sure there is no tampering with the package. |
| Group ID: | AY22BECSP70108 |
| Title: | Public Distribution System |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Jain Varsha Mukesh (Roll No 20 ) |
| 2) Mule Darshana Vishnu (Roll No 37) | |
| 3) Poojary Shipra Satish (Roll No 42 ) | |
| 4) Sahani Ratnesh Ramsajan (Roll No 47 ) | |
| Abstract: | Food security is a major concern in many parts of India as hunger and malnutrition persist.In this project we have proposed a system called Public Distribution System. It is a system for distribution of food grains at affordable prices. There are a lot of mismanagement of stock, wastage and delayed payments involved in the process. Also there is lack of transparency in the system. The objective of using Blockchain technology in PDS is to track food grains and record all key data throughout the supply chain. Business logic implemented through smart contracts will facilitate payments to farmers and millers. It will also help in tracking and tracing the movement of stocks through the supply chain. The different stack holders in the PDS chain are the millers, the farmers, the warehouses, the beneficiaries, and government. The solution will be in the form of a cross platform software application. It should be feasible to integrate with the existing flow with minimal changes. The solution ensures Food and Nutritional Security by making the food affordable, accessible and available to everyone. |
| Group ID: | AY22BECSP70119 |
| Title: | Coaching Management System |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Mittal Yash Neeraj (Roll No.29) |
| 2) Mishra Yashvin Dinesh (Roll No.68) | |
| 3) Shaikh Zaid Kamal (Roll No.71) | |
| Abstract: | The Project “Coaching Institute Management System”. We introduce a new software product for handling activities takes place inside coaching institutes. Now a day there is a tremendous increase in the activities takes place inside the coaching institutes. The “Coaching Institute Management System” is a software product to automate and log on to various day-to-day activities and to provide instantaneous information required in effective management of any coaching institute. The automation part of the software would involve data capture and maintenance of details on the institute, staff, students and tasks in the overall management of the institute. In the existing system we can stored all the record manually that required large man power and place to store the records. Due to manual maintains lots of faults are occurred so needed to replace existing system by automated software system. Automated system is time saving and gives better performance than manual based system. |
| Group ID: | AY22BECSP80106 |
| Title: | Web application for Interpretation of Doctor’s handwritten prescription and suggesting the best price offer over various e-commerce websites using AI. |
| Guide Name: | Dr. Vinayak D Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Joshi Tanmesh Suryakant Jaishree (Roll No 67) |
| 2) Das Saumen Samir Jyostana (Roll No 64) | |
| 3) Ghosh Sankalp Sunil Chaitali (Roll No 07) | |
| 4) Jha Chirag Chunchun Kiran (Roll No 66) | |
| Abstract: | Patient record-keeping is crucial for accurate diagnoses and treatment. In India, due to time constraints, most doctors manually write prescriptions, making it challenging for pharmacists to read them correctly. This increases the risk of dispensing the wrong medicine, which can have serious and even fatal consequences for patients. To address this problem, this research proposes an online handwritten medical prescription recognition system that allows users to scan prescriptions and compare prices across different websites. OCR techniques are used to recognize medicine names in handwritten prescriptions, while NLP techniques such as Cosine Similarity are employed to overcome the issue of misinterpretation. The review study focuses on Named Entity Recognition and Relation Extraction, which help identify named entities and extract relations between entities. Most state-of-the-art techniques are offline and computationally expensive, highlighting the need for understanding the deep-learning processes used in the proposed system. The system stores various features such as medicine names, uploaded images, user details, and search history to improve recognition accuracy. Additionally, new features are proposed to enhance accuracy further. Uses a local dataset from a pharmacy shop and past prescription records from local doctors. |
| Group ID: | AY22BECSP80116 |
| Title: | Decentralized Techniques Based White Paper Publication Portal |
| Guide Name: | Dr. Vinayak D Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Joshi Hemang Hemant Mukta (Roll No. 19) |
| 2) Mewada Hitesh RameshKumar Anita (Roll No. 27) | |
| 3) Gupta Chandan Kamalkishor Lalmati Devi (Roll No. 09) | |
| 4) Ansari Mohammad Zeyan Mohammad Afzel Razia Begum (Roll No. 01) | |
| Abstract: | This paper presents the development of a web application, which aims to provide a platform for white paper authors to upload and have their documents reviewed by industry experts and scholars. The main objective of the web app is to address the issue of biases and lack of authenticity often associated with white papers, which can be exploited by malicious actors in the cryptocurrency space. The web app will utilize Ethereum block chain technology to provide security and authenticity to the uploaded white papers, which will be converted into non fungible tokens to ensure their uniqueness. The authors will also have the ability to self-upload their white papers onto a secured IPFS database and use ERC721 protocols to mint them as nonfungible tokens. In addition, the web app will allow white paper authors to receive crowdfunded support from users holding ETH in their web3 wallets. With our unique authentication system utilizing decentralized techniques, the White Paper Publication Portal ensures that only verified authors can publish their work, enhancing both the security and credibility of the platform. |
| Group ID: | AY22BECSP70115 |
| Title: | DECENTRA TWITTER USING BLOCKCHAIN |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Loukik Naik (Roll No. 69) |
| 2) Raghav Gupta (Roll No. 11) | |
| 3) Om Aryan (Roll No. 32) | |
| 4) Ankit Upadhyay (Roll No. 52) | |
| Abstract: | Blockchain nowadays has become a hot topic in technology, finance, regulation, and the wider society in recent years. A plethora of permissions and permissionless blockchain platforms are available in the industry, and some could be used to develop a social networking site. This report proposes a framework for secure, trustworthy social networking that also creates value for user-generated content by using a blockchain-enhanced framework for social networking. In this work, we design blockchain-based data storage and access a framework that will not totally dependent on centralized Twitter. We use the public blockchain and tools like Ganache, MetaMask, and Ethereum IDE for deploying the contracts. In the proposed work, metadata of the files are stored on the blockchain and we use networks like the goerli test network for occurring the Transactions using peer-to-peer networks. The decentralized data storage will help to eliminate the most traditional data failures and outages by securing and controlling the data. |
| Group ID: | AY22BECSP80113 |
| Title: | OSINT AUTOMATION APPLICATION |
| Guide Name: | Mr. Rajesh Gaikwad, Associate Professor, CS, SLRTCE |
| Group members: | 1) Kureel Vinay Kumar Rameshchand (Roll No 22) |
| 2) Arya Manav Sunil Kumar (Roll No 02) | |
| 3) Kini Aditya Subhash (Roll No 21) | |
| 4) Maurya Suraj Govind (Roll No 26) | |
| Abstract: | Today a lot of people/companies are applying for bank loans. The core business part of every bank is the istribution of loans. The main objective of the banking sector is to give their assets in safe hands. But the banks or the financial companies take a very long time for the verification and validation process and even after going through such a regress process there is no surety that whether the applicant chosen is deserving or not. To solve this problem, we have developed a system in which we can predict whether the applicant chosen will be a deserving applicant for approving the loan or not. The system predicts on the basis of the model that has been trained using machine learning algorithms. We have even compared the accuracy of different machine learning algorithms. We got a percentage of accuracy ranging from 75-85% but the best accuracy we got was from Logistic Regression i.e., 88.70%. It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Such problems can be tackled with Data Science and its importance, along with Machine Learning, cannot be overstated. This project intends to illustrate the modelling of a data set using machine learning with Credit Card Fraud Detection. |
| Group ID: | AY22BECSP80112 |
| Title: | Predictive Analysis in Banking Using Machine Learning |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Gupta Ashwin Arun Kumar (Roll No.08) |
| 2) Chaurasiya Ravi Panchuram (Roll No. 63) | |
| 3) Khambati Aadil Afzal (Roll No. 20) | |
| 4) Niraj Sureshchand Yadav (Roll No. 59) | |
| Abstract: | The purpose of this paper is to present the latest innovations in the OSINT Technologies, which are currently dealing with data breaching and fragmented organizational responsibilities. Design/methodology/approach – The literature review and the in-depth analysis of a case study support the understanding of the OSINT system and the subsequent definition of the practical implications for OSINT Framework. Findings – Starting from the insights offered by the case study, the analysis shows that the impact of cybercrime has necessitated intelligence and law enforcement agencies across the world to tackle cyber threats. Research limitations/implications – The limitations of the research are those related to the theoretical and exploratory nature of the study, but from a practical point of view, the work provides publicly available information on the internet that aid an attacker and find measures to Eradicate or reduce this information to an extent. Originality/value – This paper analyzes a new and highly topical issue and provides several insights for the competitive development of a fundamental sector. Keywords OSINT Scanning, OSINT data harvesting, Data Breaching Security Paper Type Case study. |
| Group ID: | AY22BECSP80111 |
| Title: | A Web App For Anonymous Tipping Of Suspicious Activity Using Blockchain |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shlok Nikhil Upadhyay (53) |
| 2) Satyam Ramesh Vishwakarma (55) | |
| 3) Isha Rakesh Yadav (61) | |
| 4) Durvesh Sunil Khanvilkar (60) | |
| Abstract: | Modern street crime has been increasingly affecting the formation of the criminal genetic situation in Russia. The main goal of this paper is exploring the possible application of modern digital technologies in the evaluation and prevention of public crime. The methods presented in this empirical research are: monitoring, statistical methods, modeling and questioning, content analysis, research result processing. As a result of the analysis of the received data, generalized quantitative and qualitative indicators of modern street crime were presented. prevalence of mercenary and violent crimes 61,4% in the current criminal situation in the city streets structure of street crime, the percentage of street crime in relation to all crime done in public places is 45,0% with the rising tendency of serious crime and latency; places where street crime takes place are empty, open city spaces composing about 12% of all the streets of the city; the prevailing “work schedule” of a street criminal is determined by the time of the year fall winter, day of the week Friday, weekends and holidays and time of day evening-night, the increase in mobile phone theft from people passing in the streets; a characteristic way of street theft and robbery is their suddenness and unpredictability. The article supports the conclusion that the current system of street crime prevention methods and its practice doesn’t provide salvation from street criminals and thus requires further improvement with the consideration of the rising possibilities of the internet-space, specifically, usage of digital applications and devices. |
| Group ID: | AY22BECSP80104 |
| Title: | Healthcare Data Management System Using Blockchain |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Prerna Ranjan (Roll No. 37) |
| 2) Aanchal Verma (Roll No. 54) | |
| 3) Anand Sagar Yadav (Roll No. 57) | |
| 4) Devanand Gupta (Roll No. 10) | |
| Abstract: | The healthcare industry generates vast amounts of data that must be managed and stored securely. Blockchain technology has the potential to revolutionize healthcare data management by providing a secure, decentralized, and tamperproof way to store and share data. Today’s medical data management systems require data transparency, traceability, Immutability, auditing, lineage, flexible access, trust, privacy, and security. Also, most of the existing Healthcare systems used to manage data are centralized and pose potential risks in the event of a single point of failure Natural disaster. Blockchain is an emerging and disruptive decentralized technology that has the potential to become an important technology. This research will show you how the use of blockchain for medical data management systems can stimulate innovation and make great strides in improvement. It also describes the key benefits of hiring Opportunities in Blockchain Technology and the health-care industry. The purpose of this research is to explore the implementation of blockchain technology in health data management and identify related challenges. |
| Group ID: | AY22BECSP70114 |
| Title: | EPICRAFT – ECOMMERCE FOR ARTISANS |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Ritu Shailendra Jha (Roll No 18) |
| 2) Ritu Raju Jha (Roll No 17) | |
| 3) Nandini Vijay Gurav (Roll No 13) | |
| Abstract: | Epicraft is an e-commerce platform focused on promoting the handicraft and handloom industry of India. Built using the MERN technology stack, the platform offers a seamless user experience with its React-based frontend and Node.js-powered backend. The system uses MongoDB for data storage and management, while Stripe is integrated as the payment gateway for secure and hassle-free transactions. The project has been hosted on Render and Netlify, ensuring high reliability, scalability, and accessibility for users. With Epicraft, artisans from various parts of India can showcase and sell their unique and high-quality products to a global audience, while buyers can discover and purchase authentic Indian handicrafts and handloom items with just a few clicks. Built on the latest technology stack, Epicraft provides a user-friendly interface with smooth navigation, enabling customers to browse and purchase a wide range of handcrafted items from the comfort of their homes. The platform also offers features like secure payment gateways, easy checkout process, and timely delivery to ensure a hassle-free shopping experience. Epicraft has been hosted using Render and Netlify, ensuring the platform’s scalability, security, and reliability. The platform’s focus on Indian handicrafts and handlooms has the potential to revive and uplift this sector, thereby contributing to the country’s cultural and economic growth. Overall, Epicraft is a unique and innovative initiative that brings together traditional Indian art and modern technology to create a platform that connects artisans and customers, fosters creativity, and promotes the rich cultural heritage of India |
| Group ID: | AY22BECSP70118 |
| Title: | Dog Breed Prediction Using Deep Learning and E-commerce |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Abhinav Rajhans (Roll No 70) |
| 2) Ritu Raju Jha (Roll No 17) | |
| 3) Satyam Dubey (Roll No 06) | |
| 4) Piyush Dave (Roll No 05) | |
| Abstract: | Abstracts must include sufficient information for reviewers to judge the nature and significance of the topic, the adequacy of the investigative strategy, the nature of the results, and the conclusions. The abstract should summarize the substantive results of the work and not merely list topics to be discussed. An abstract is an outline/brief summary of your paper and your whole project. It should have an intro, body and conclusion. It is a well-developed paragraph, should be exact in wording, and must be understandable to a wide audience. Abstracts should be no more than 250 words, formatted in Microsoft Word, and single-spaced, using size 12 Times New Roman font. Abstracts highlight major points of your research and explain why your work is important; what your purpose was, how you went about your project, what you learned, and what you concluded. Although the content will vary according to field and specific project, all abstracts, whether in the sciences or the humanities, convey the following information: The purpose of the project identifying the area of study to which it belongs. The research problem that motivates the project. The methods used to address this research problem, documents or evidence analysed. The conclusions reached or, if the research is in progress, what the preliminary results of the investigation suggest, or what the research methods demonstrate. The significance of the research project. Why are the results useful? What is new to our understanding as the result of your inquiry? The abstract should be one paragraph and should not exceed the word limit. Edit it closely to be sure it meets the Four C’s of abstract writing: Complete — it covers the major parts of the project. Concise — it contains no excess wordiness or unnecessary information. Clear — it is readable, well organized, and not too jargon-laden. Cohesive — it flows smoothly between the parts. |
| Group ID: | AY22BECSP80102 |
| Title: | Text Summarization for News and Science Articles |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Mandar Alok Bakshi (Roll No. 03) |
| 2) Ashish Indrapal Tak (Roll No.47) | |
| 3) Omkar Chandrashekhar Tendolkar (Roll No.48) | |
| 4) Aayush Yadunath Yadav (Roll No.56) | |
| Abstract: | Text summarization is the process of automatically generating a shorter version of a longer text, while retaining its most important information. The goal of text summarization is to help readers quickly grasp the essential points of a document, without having to read the entire text. Text summarization techniques can be broadly classified into two categories: extractive and abstractive. Extractive summarization involves selecting the most important sentences or phrases from the original text, while abstractive summarization involves generating new sentences that capture the essence of the original text. The techniques used for text summarization include statistical methods, such as TF-IDF and graph-based algorithms like Lex Rank, as well as machine learning-based methods like neural networks. Text summarization has many applications in various fields, including news articles, research papers, legal documents, and social media. The advantages of text summarization include improved efficiency and productivity, increased accessibility to information, and reduced information overload. However, the limitations of text summarization include the possibility of losing important context and potential bias in the selection of important sentences. Ongoing research in text summarization aims to develop more advanced techniques that address these limitations and generate more accurate and informative summaries |
| Group ID: | AY22BECSP80117 |
| Title: | Saathi – Your Chat Companion |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Deepanshu Kailashnath Yadav (Roll No.74) |
| 2) Amey Atul Bhavsar (Roll No.62) | |
| 3) Ankita Ramesh Upadhyay (Roll No.73) | |
| 4) Pooruvi Virendra Singh (Roll No.45) | |
| Abstract: | Our mental, emotional, and social health affect our thoughts, feelings, and behaviours. If a person has mental health concerns, the aforementioned circumstances may have an effect on their thinking, emotions, and behaviour over the course of their lifetime. A billion individuals worldwide experience some type of mental illness, ranging from the most common conditions like anxiety and depression to psychosis and personality disorders. Mental illnesses significantly reduce a person’s quality of life as well as their ability to contribute to society and the economy. According to the National Mental Health Survey from 2017, one in seven Indians had mental illnesses including sadness and anxiety. Therefore, it is necessary to increase public awareness of mental health. Only when individuals can talk openly about their mental health and ask questions without feeling awkward will this be achievable. An AI-based chatbot can help in this situation. A chatbot can help people change their negative ideas into positive ones by interacting with them in an unbiased manner. So, we are creating an AI chatbot for both personal and professional mental health aid |
| Group ID: | AY22BECSP801109 |
| Title: | Vegetaux – An application to detect disease in the leaves of plants. |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tiwari Harsh Tribhuvan (Roll no.50) |
| 2) Singh Akshay Vinaykumar (Roll no.43) | |
| 3) Singh Vibhanshu Vijaypratap (Roll no.47) | |
| 4) Tiwari Aarushi Ajaykumar (Roll no.49) | |
| Abstract: | Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Leaf disease detection is a critical task in pro Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphoneassisted disease diagnosis. Leaf disease detection is a critical task in precision agriculture to ensure optimal crop health and maximum yield. Recently, deep learning techniques, especially convolutional neural networks (CNNs), have shown promising results in the field of plant disease detection. The proposed method employs transfer learning to fine-tune pre-trained CNN models, followed by an image augmentation strategy to enhance the training dataset. Experimental results on a publicly available benchmark dataset demonstrate the effectiveness of the proposed method in accurately detecting and classifying various types of leaf diseases in plants. The proposed method achieves a high accuracy of over 95%, outperforming the state-of-the-art methods in the literature. This paper contributes to the development of automated plant disease detection systems, which can provide timely and accurate disease diagnosis, leading to effective crop management and reduced economic losses. excision agriculture to ensure optimal crop health and maximum yield. Recently, deep learning techniques, especially convolutional neural networks (CNNs), have shown promising results in the field of plant disease detection. The proposed method employs transfer learning to fine-tune pre-trained CNN models, followed by an image augmentation strategy to enhance the training dataset. Experimental results on a publicly available benchmark dataset demonstrate the effectiveness of the proposed method in accurately detecting and classifying various types of leaf diseases in plants. The proposed method achieves a high accuracy of over 95%, outperforming the state-of-the-art methods in the literature. This paper contributes to the development of automated plant disease detection systems, which can provide timely and accurate disease diagnosis, leading to effective crop management and reduced economic losses. |
| Group ID: | AY21BECSP70501 and AY21BECSP80501 |
| Title: | Product Analogy |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Agrawal Aayush Vikas (01) |
| 2) More Shubhangi Sukachari (34) | |
| 3) Singh Manav Jagdish (55) | |
| Abstract: | People are dependent on internet websites for grocery shopping and other daily necessities during the pandemic time of 2020, which has seen a significant surge in online purchasing. People frequently compare costs between multiple stores, adding to the complexity of their purchase. This results in the waste of a significant amount of time that may be better spent elsewhere, on something more useful. They will not be able to take advantage of the offers and services available on online shopping websites if they purchase offline. This website will allow users or consumers to compare and purchase things from a variety of websites all on one page. It will compare prices and provide you with the lowest and most relevant products with the best deals. This website will be built using HTML, CSS, and Jquery to make it more appealing and user-friendly. MySQL will be used to create the database, and PHP will be used to connect it to the website. ParseHub is a web scraping application. This project will be expanded into an application that will be more useful, and a user-friendly GUI will be able to attract a larger number of users. To make it more convenient, a recommendation system will be implemented to recommend relevant products or previously purchased items. This website can be used not only for grocery or everyday things, but also for gadgets if the people request it. |
| Group ID: | AY21BECSP70502 and AY21BECSP80502 |
| Title: | Notesac (An Encrypted Notebook) |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Balmiki Pooja Rajendra (04) |
| 2) Anavkar Abhay Chetan (02) | |
| 3) Mhatre Tanvi Sanjay (29) | |
| Abstract: | There are world efforts to make technology act with the education field for better learning achievements. Technology tries to replace the traditional learning environments, media, and activities into the digital age. However, slow progress has been achieved to transfer the note-taking activities into the digital era. In this project, we explored current note taking tools which developed to bridge the gap between paper-based and technology-based notes. We tried to identify key specific problems and challenges in the current note taking system. This project is providingextensive investigation with systematic analysis about the impacts of current note taking tools in learning to identify constraints and limitations of typical note taking systems and developing a note taking application which is more easy to use with freely available features. |
| Group ID: | AY21BECSP70503 and AY21BECSP80503 |
| Title: | Blockchain based model for royalty payments of Artists |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Dsouza Delcy Divan (10) |
| 2) Tiwari Neha Kamlesh (63) | |
| Abstract: | Music has always been a way for artists to express themselves. With the availability of digital music streaming platforms, the music industry has grown exponentially within the past few years. However, these streaming platforms that stream music are centralized due to which artists gets a tiny fraction of revenue and also lack control over their content. The cases of plagiarism in the music industry have increased a lot due to which it is necessary to use such a technology that can act as a boon for artist. In the current scenario, a revolutionary technology is needed that can provide more control and transparency over their content to the artist. With the existing systems, the artist needs to be dependent on many middlemen like labels, streaming platforms, etc. To eliminate this problem, our project mainly focuses on a decentralized approach using blockchain with direct interaction between artists and users for uploading, buying songs and paying royalty. The artists can upload their music on the DApp ensuring its ownership and avoiding any chances of plagiarism. The users can buy the song from the independent artist and listen to the music and also can support the artist buy giving donations using Ethers. The purpose is to create a foundation for those who have talent but not the opportunity to shine along with the fact that every hardworking artist, irrespective of the fame or popularity, can get their deserved recognition and royalty with the prospect to be appreciated through the methodology where on an upload, With the help of Ethereum blockchain and IPFS, revenue will go directly to the artists transparently and securely. The hash and its fingerprint are generated to check for copyright. If successful, a transaction system is carried out with the help of a decentralized application. |
| Group ID: | AY21BECSP70504 and AY21BECSP80504 |
| Title: | Detection and Elimination of Network Covert Channel with Active Wardens |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Yadav Vivek Gulabchand (75) |
| 2) Dubey Ankit Avadhesh (13) | |
| 3) Gupta Abhishek Devraj (15) | |
| Abstract: | A covert channel is a logical link between two compromised systems through which two end applications can secretly exchange information without being detected. Covert channels can also be defined as sending the data through a path that is not intended to send the data. Here we have selected the Initial Sequence Number (ISN) of the TCP layer to send the data covertly. Our research is divided into two parts first is the creation of covert channel and second is detection and elimination of covert channel. We created a covert channel that can use such path to send some amount of data covertly also we used an algorithm to hide data while sending it through ISN and that can be recovered on the receiver end. For detecting the covert channel we mixed covert traffic with normal traffic and passed it through our detection algorithm that will act as active warden and it will be able to segregate the covert traffic by analyzing each and every packet at IP layer. Once the covert traffic is detected we will halt the IP Address of that machine from sending data or to establish the connection with compromised host for random amount of time. We are halting the IP address of another machine in order the scramble the data so that content of data cannot be read easily. |
| Group ID: | AY21BECSP70505 and AY21BECSP80505 |
| Title: | Coloring and Styling Images |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Yadav Vivek Gulabchand (75) |
| 2) Dubey Ankit Avadhesh (13) | |
| 3) Gupta Abhishek Devraj (15) | |
| Abstract: | Neural style transfer has been a fascinating use case of deep learning. This project showcases the use of automatic differentiation and the Adam optimization technique to update a target image according to content and style images. The aim of this project is to expose the style transfer model which can be consumed by the developers that want to use it for their work. Styling image is a technique for blending a style reference image and the input image you would like to style such that the input image appears to be the same as the content image but is “painted” in the manner of the style image. To achieve the purpose of stylizing the images, we employed Tensor Flow’s API and Automatic differentiation. This is accomplished by adjusting the output image’s content statistics to match the content image’s content statistics and the style reference image’s style statistics. A convolutional network is used to extract these data from the images. By separating and recombining visual content and style, Convolutional Neural Networks (CNNs) demonstrated the power of creating aesthetic imagery. Neural Style Transfer is the process of employing CNNs to generate a content image in different styles (NST). Since then, NST has been a prevalent topic in academia as well as in industry. It is gaining popularity, and other techniques to improving or extending the original NST algorithm have been presented. |
| Group ID: | AY21BECSP70506 and AY21BECSP80506 |
| Title: | proLearning: Web App for A Massive Open Online Courses |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Suraj Maurya (27) |
| 2) Ashish Prasad Kushwaha (24) | |
| 3) Nikita Jha (21) | |
| Abstract: | Web development gives the opportunity to express yourself creatively using the internet. Fortunately, the high-demand, easy-to-learn, fun-to-experience life of a web developer is always a great choice for someone ready to have an exciting career in coding. As our application is web development learning platform, the main motive is to make available different types of courses from beginner level to advanced level so that all the end-users can make use of it. Here user search courses based on content-based filtering which fetches the items based on their physical attribute. In order to access all the essential services which we have provided, first users have to sign up if they are new or they can sign in by their username and password if users don’t want to go through the registration process they can login with Google directly & can access the free resources. As continuous communication between server and user are required hence node.js, which is a server-side scripting language and mongoDB database have been used here. Online courses have brought a positive impact on the lives of students and working professionals. It has given an opportunity to take up additional courses along with their studies or job at their convenience. This website will provide a platform to make available different courses. This platform is intended for anyone who wants to learn new things. |
| Group ID: | AY21BECSP70507 and AY21BECSP80507 |
| Title: | Multi-User Chat Application |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Chaitanya Malani (26) |
| 2) Mugees Shaikh (45) | |
| 3) Neeraja Apte (03) | |
| Abstract: | The latest development of the Internet has brought the world into our hands. Everything happens through the internet from passing information to purchasing something. Internet made the world as small circle. This project is also based on the Internet. This paper shows the importance of chat applications in day today life and their impact in the technological world. This online system is developed to interact or chat with one another on the Internet. This application is developed with proper architecture for future enhancement. It can be deployed in all private organizations like Colleges, IT parks, etc. |
| Group ID: | AY21BECSP70508 and AY21BECSP80508 |
| Title: | UNIFY – connecting students |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Pratik Mishra (30) |
| 2) Vaibhav Sharma (49) | |
| 3) Aniket Singh (52) | |
| Abstract: | It is observed that the social networking sites are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. The abundance of easy availability, accessibility and rapid development in social networking websites has proven that the whole world is small and within everyone’s reach. In today’s era we have different social media platforms for various different purposes. For example, we have applications like Facebook, Instagram, twitter which are basically made for online photo, videos sharing and networking purposes. We have application like LinkedIn which is solely made for different corporate working professionals who is looking to advance their career. But we were not able to find any such kind of social networking sites which is completely based on student community. So, we decided to make a social networking website for student community called Unify-connecting students. Considering the potentiality of the social networking sites the application will be allowing the student to interact with a wider audience not within the class but also outside the classroom. User will be coming across the posts in their feed section according to post they had previously viewed or liked, this had done using a recommendation engine. Apart from this their chatting feature is also provided to interact with each other and stay connected. Users can add friends and will be getting friends suggestions within that. We will be going through each and every aspect as we move further. |
| Group ID: | AY21BECSP70509 and AY21BECSP80509 |
| Title: | ARAV (Virtual Assistance) |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rahul Mishra (31) |
| 2) Ganpat Choudhary (08) | |
| 3) Yash Nayak (35) | |
| Abstract: | An AI assistant or a Virtual assistant are the programs made by humans to make their task easier, it can be in the form of a chat bot where you can simply ask questions or you can command any task to it (for example – to save a file in the specified directory), it is going to complete it. Isn’t it a miracle you are talking to a computer just like a human and also it understands you, we have used python standard libraries, NLP wordnet, and Tkinter for user interface, the main objective of this project is learning about the various disciplines of AI and ML. |
| Group ID: | AY21BECSP70510 and AY21BECSP80510 |
| Title: | HomeChef – Recipe Search and Recommendation System |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shagun Mishra (32) |
| 2) Falguni Mohite (33) | |
| 3) Gauravi Sharma (46) | |
| Abstract: | This project aims to develop a recipe search and recommender system that can give recipes from different cuisines when provided with the image of the dish, the name of the dish, or ingredients used as input. The system has the feature of giving a caloric value to the several ingredients used in the recipe for preparing the dish. Users can publish his/her recipes and can view them that have been published by other users. The system aims to promote the healthy aspects by keeping the nutritional value in consideration. It can also be helpful for cooking enthusiasts as a social media appreciation curated by them and for them. The application can provide options for getting ingredients online from several websites that will be listed for a specific ingredient. It clearly promotes the food industry and its growth by allowing people to explore different cuisines and trying new dishes. |
| Group ID: | AY21BECSP70511 and AY21BECSP80511 |
| Title: | Online Quiz Examination with Automatic Supervisor |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Pal Aniket Gopal (36) |
| 2) Rajbhar Mridul Dinesh (38) | |
| 3) Gaud Hritik Jokhanram (14) | |
| Abstract: | Massive open online courses (MOOCs) and other forms of remote education continue to increase in popularity and reach. The ability to efficiently proctor remote online examinations is an important limiting factor to the scalability of this next stage in education. Presently, human proctoring is the most common approach to evaluation, either requiring the test taker to visit an examination center or monitoring them visually and acoustically during exams via a webcam. However, such methods are labor-intensive and costly. In this paper, we present a multimedia analytics system that performs automatic online exam proctoring. The system hardware includes one webcam, one wear cam, and a microphone, for the purpose of monitoring the visual and acoustic environment of the testing location. The system includes six basic components that continuously estimate the key behavior cues: user verification, text detection, voice detection, active window detection, gaze estimation, and phone detection. By combining the continuous estimation components, and applying a temporal sliding window, we design higher-level features to classify whether the test taker is cheating at any moment during the exam. To evaluate our proposed system, we collect multimedia (audio and visual) data from 24 subjects performing various types of cheating while taking online exams. Extensive experimental results demonstrate the accuracy, robustness, and efficiency of our online exam proctoring system. |
| Group ID: | AY21BECSP70512 and AY21BECSP80512 |
| Title: | Docbook – An Online Healthcare Web Application |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Nitin Ranganath (39) |
| 2) Unnati Bamania (05) | |
| 3) Yati Sharma (50) | |
| Abstract: | Health is the most vital part of life. If someone doesn’t have good health, they can’t enjoy their life. Health is not just about having a healthy body; it’s about being mentally sound. Be it the health of the body or of the mind, life is incomplete without it. During COVID-19 times, we have seen that people were not able to contact the doctor because of the lockdown and the spread of the Covid-19 virus. People prefer the online mode for everything right from ordering groceries to conducting online consultations. Hence, we have come up with a digital solution for this problem Docbook is a web-based platform that provides consumers with healthcare services. With an aim to make affordable and quality healthcare accessible to all, we have also made it very convenient for people to access doctors and healthcare providers. |
| Group ID: | AY21BECSP70513 and AY21BECSP80513 |
| Title: | Online Voting System Using Blockchain |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Prateek Sharma (47) |
| 2) Saurav Kumar (23) | |
| 3) Irfan Shaikh (44) | |
| Abstract: | Building a secure electronic voting system that offers the fairness and privacy of current voting schemes, while providing the transparency and flexibility offered by electronic systems has been a challenge for a long time. In this project, we evaluate an application of blockchain as a service to implement distributed electronic voting systems. The project proposes a novel electronic voting system based on blockchain that addresses some of the limitations in existing systems and evaluates some of the popular blockchain frameworks for the purpose of constructing a blockchain-based e-voting system. In particular, we evaluate the potential of distributed ledger technologies through the description of a case study; namely, the process of an election, and the implementation of a blockchain-based application, which improves the security and decreases the cost of hosting any sort of election, however big or small. The project is not restricted in any fashion and is flexible according to the latest needs of the people. It is a product that can revolutionize the functioning of voting and elections. |
| Group ID: | AY21BECSP70514 and AY21BECSP80514 |
| Title: | E-Learning App for Autism Spectrum Disorder |
| Guide Name: | Mrs. Savyasaachi Pandit, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rahul Sharma (48) |
| 2) Kaushal Gupta (16) | |
| Abstract: | Autism spectrum disorder (ASD) is a neurological and developmental disorder that starts early in childhood and goes on throughout a person’s life. We need to provide education to young children who have developed ASD in early childhood stages. These children do not respond naturally, they are always isolated so we need to make them utilize the E-Learning application and make them inclusive in the classroom, help them to develop interest, and to interact with everyone socially. So, we are building an educational application incorporating intra and interpersonal development skills. Through this, we can keep track of their ability and address their uneven progress in specific areas. The proposal of the E-Learning Application will be beneficial for the parents and teachers to understand the changes in the behavior of an ASD child. Along with this we will be implementing Machine Learning algorithms (Classification) such as Random ForestCART3 to make the E-Learning application simpler and then we will be visualizing the data together on a tableau and making an analysis of whether which child suffering from ASD has better grasping power and sustainability to think. It is also evolving such that the complexity will increase as the ASD learners’ understanding thought process progresses. This E-Learning application will play a drastic role in changing the daily habitual life of an ASD child. |
| Group ID: | AY21BECSP70515 and AY21BECSP80515 |
| Title: | Land Registry System |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Anjali Singh (53) |
| 2) Ayesha Shaikh (43) | |
| 3) Siddhant Chatterjee (07) | |
| Abstract: | The land registry system is one of the very important departments in any governance system that stores the records of land ownership. There are various issues and loopholes in the existing system that give rise to corruption and disputes. This requires a significant chunk of valuable government resources from judiciary and law enforcement agencies in settling these issues. Blockchain technology has the potential to counter these loopholes and sort out the issues related with land registry systems like the tempering of records, and trading of the same piece of land to more than one buyer. In this project, a secure and reliable framework for land registry systems using blockchain has been proposed. The proposed framework uses the concept of smart contracts at various stages of the land registry and gives an algorithm for pre-agreement. Blockchain is an electronic ledger of digital records, events, or transactions that are hashed cryptographically, authenticated, and controlled through a distributed or shared network of participants using a group consensus protocol. This research aims to design a model for a secure and robust land administration and title registration system based on blockchain technology, which will help in eradicating the weaknesses shown in the current land registration and administration process. Land administration and registration systems with blockchain technology are implemented in Ghana, Estonia, Georgia, and Honduras. Although they are still in their initial stages, there are challenges and strengths which have already been experienced. The challenges in all countries are the lack of awareness of blockchain technology to society and difficulties in the registration of titles which are still in conflict. |
| Group ID: | AY21BECSP70516 and AY21BECSP80516 |
| Title: | Automatic People Counting Solution Using TOF Sensor |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shivam Thaker (58) |
| 2) Aditya Dubey (12) | |
| 3) Nitesh Patel (37) | |
| Abstract: | During the ongoing Covid-19 Pandemic, when we need to operate any public facility like the shopping mall, restaurants, or public dealing organizations, we need to keep the operations going and ensure preventive measures to ascertain their safety. As per all SOPs (Standard Operating Procedures), it is advisable to restrict the number of visitors inside these enclosed spaces, most likely weather-controlled. Automatic safety compliance thus becomes imperative in such situations. Even though absolute compliance and alert signaling will require scrutiny and cross-checking at several levels, a beginning towards automation of compliance monitoring seems mandatory in the neo-normal era. Hence, we have designed a cost-effective, rapidly implementable design to monitor visitors in this project. In this project, we have designed a low-cost, rapidly implementable design to monitor the number of visitors the system will the visitor population at a given time. We are monitoring the optimal population and the density and enforcing visitors. Here we have used Sigma Sensor (Virtually) for Accuracy. There is some commercial solution available for the problem, but all of them are either implemented considering the ideal Situation or need huge cost and infrastructure. The Shop community is passing through a financial crisis as they were closed for visitors due to a pandemic. Hence neither we can afford a costly system nor a system designed with the ideal condition. This problem motivated us to develop a new plan according to our criteria. Here we have modified the available solution for implementation in a real-world environment using minimum hardware infrastructure requirements to work in real-time with maximum efficiency. This system is beneficial for the COVID-19 Situation, but its use can be extended beyond the boundary of museums for visitor density monitoring systems for the large public. |
| Group ID: | AY21BECSP70517 and AY21BECSP80517 |
| Title: | Car Rental System |
| Guide Name: | Mrs. Savyasaachi Pandit, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Neeraj Vishwakarma (71) |
| 2) Harsh Thakkar (59) | |
| 3) Abhishek Tiwari (60) | |
| Abstract: | The car rental system is being developed for customers so that they can book their vehicles from any part of the world. This application takes information from the customers through filling their details. A customer being registered in the website has the facility to book a vehicle which he requires. The proposed system is completely integrated online systems. It automates manual procedure in an effective and efficient way. This automated system facilitates customer and provides to fill up the details according to their requirements. It includes type of vehicle they are trying to hire and location. The purpose of this system is to develop a website for the people who can book their vehicles along with requirements from any part of the world. |
| Group ID: | AY21BECSP70518 and AY21BECSP80518 |
| Title: | Blockchain based Crowdfunding and Blood donation Management with bed availability |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Atul Rasbihari Tiwari (62) |
| 2) Abhash Sumit Tripathi (65) | |
| 3) Vaibhav Prem Saxena (41) | |
| Abstract: | Due to Covid crisis everybody was suffering from 3 major problems i.e., financial aid, blood/plasma donor, bed availability at hospitals. Financial aid can be provided through crowdfunding. Crowdfunding are made on paper that isn’t the least bit safe as they might be duplicated or forgery may be done. Even if the agreements are digital, they may be hacked if no security surrounds them. For blood, hospitals are directly dependent on blood banks. That’s why use this web application. This web-application provides three features Crowdfunding through blockchain, Hospital bed availability and blood donation system without being dependent on blood bank. The Crowdfunding part is done through smart contracts with the funding amount being in the smart contract. In hospital bed availability hospitals can register themselves and fill in the details and regularly update information regarding available beds. In Blood Donation hospitals can send notification to the people of required blood type in a particular region given those people are registered on the blood donation system part of the web application Keywords—component, formatting, style, styling, insert (key words). |
| Group ID: | AY21BECSP70519 and AY21BECSP80519 |
| Title: | Blockchain based Crowdfunding and Blood donation Management with bed availability |
| Guide Name: | Mrs. Sampada Watane, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Manish Varma (68) |
| 2) Suyash Vartak (69) | |
| 3) Vedanand Roy (40) | |
| Abstract: | Face detection is implemented using OpenCV’s deep learning-based, supported by a ResNet architecture, for achieving better accuracy than the previously developed models. The result computed by framework libraries of OpenCV, with the support of the above-mentioned hardware, displayed reliable accuracy even with the change in lighting and angle. For face recognition, the approach of deep metric learning using OpenCV, supported by a ResNet-34 architecture, is used. Face emotion recognition is achieved by developing a system in which the areas of eyes and mouth are used to convey the analysis of the information into a merged new image, classifying the image into displaying any of the seven basic facial emotions. A powerful and a low-power platform, Jetson Nano carried out intensive computations of algorithms easily, contributing in high video processing frame. |
| Group ID: | AY21BECSP70520 and AY21BECSP80520 |
| Title: | Automated Plant Identification with CNN |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Vaghasiya Milan Rajesh (67) |
| 2) Viradiya Smit Kamlesh (70) | |
| 3) Yadav Akash Dwarikaprasad (72) | |
| Abstract: | In both botanical taxonomy and computer vision, plant image recognition has become a transdisciplinary priority. We use convolutional deep neural networks to identify the types of plants photographed in the image and to explore various factors that affect the performance of these networks. Determining plant species from field observations requires a large botanical specialist, which puts more than the reach of many nature lovers. Discovery of traditional plants is virtually impossible for the public and is a challenge even for professionals who deal with daily crop problems such as conservationists, farmers, foresters, and architects. Even for botanists themselves, species identification is often a difficult task. This change enhances the accuracy of the model significantly. This model is tested in a leaf set of Flavia leaf sets. The results of the identification phase show that the proposed CNN model is still effective in leaf recognition with an optimal accuracy of more than 88.22%. |
| Group ID: | AY21BECSP70521 and AY21BECSP80521 |
| Title: | Realtime E-Milk Dairy Milk Web Application |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Neha Yadav (73) |
| 2) Ambar Jha (20) | |
| 3) Aaliya Shaikh (42) | |
| Abstract: | Technological evolution has completely changed the entire scenario of the dairy industry. It has uplifted the usage of online Milk delivery services and enabled us to order dairy products in the comfort of our homes, compare prices, and conveniently access these services. These online dairy product delivery services are boosting the option of choosing dairy products from a wide variety with a single tap of our smartphones. Realtime E-milk Dairy web application made by using MongoDB, Express.JS framework, tailwindCss, Node.JS platform, and socket.io. This Realtime E-milk web application lets the users browse and buy milk and dairy products, tracks the milk and its milk products through its delivery path using real-time communication, and delivers quality milk to people at their convenience. This application is fully functional with different views for user and admin and it also has integrated with payment gateway for checkout. By using this application customers can buy different types of milk and dairy products. In this web application, for admin all administrative functions have been developed such as creating a product, create categories, Admin dashboard, Managing products, and managing categories. For customers, they can quickly add their items to the cart. Based on the items in the cart the bill gets generated and the customer can pay by using stripe along with that customer can access the status of the shipping path of the product. |
| Group ID: | AY21BECSP70522 and AY21BECSP80522 |
| Title: | Phonify Webapp Using Webscraping |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sumit Yadav (74) |
| 2) Keyur Kalwar (22) | |
| 3) Prabhat Tripathi (66) | |
| Abstract: | The Internet isn’t only a requirement or luxury; it’s become a household necessity. Today we can find many websites on the internet selling the same phones at different prices. How can the customer know which site is selling the same product at the cheapest price? This paper shows the way to deal with this problem by creating a Phonify web app, which will help us to extract smartphones from various sites and rank them based on prices using the technique of web scraping. The Phonify Webapp Using Web scraping is being developed for customers so that theycompare Smartphone listed on various E-Commerce sites without visiting each site individually.This application takes information from the customers through Search box and shows different smartphone which user can sort based on price and rating. |
| Group ID: | AY21BECSP70523 and AY21BECSP80523 |
| Title: | Student Web Portal – “Study buddy” |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Yash Yadav (76) |
| 2) Bharat Suthar (57) | |
| 3) Adarsh Singh (51) | |
| Abstract: | The spread of COVID-19 poses a threat to humanity, as this pandemic has forced many global activities to close, including educational activities. To reduce the spread of the virus, education institutions have been forced to switch to e-learning using available educational platforms, despite the challenges facing this sudden transformation. In order to further explore the potentials challenges facing learning activities, the focus of this study is on e-learning from students’ and instructor’s perspectives on using and implementing e-learning systems in a public university during the COVID-19 pandemic. Since most of the academic institutions face difficulty in managing records of student’s attendance accounts, admissions etc. and track of the information of their interest as they still rely on paperwork and manual processes. Web based student web portal system will reduce the manual work by deploying centralized software incorporated with various loosely coupled services which interact with each other to address abovementioned issues and improve the communication between management and the student. |
| Group ID: | AY21BECSP70524 and AY21BECSP80524 |
| Title: | Automatic Android Telecaller App Using REST API |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tiwari Ashutosh Vijay (61) |
| 2) Nagraj Chandrasekhar Lingayati (25) | |
| 3) Ashutosh Ashok Indravati Dube (11) | |
| Abstract: | Android is the most widely used mobile operating system which has been developed by Google. It is being used by various smartphones, such as the Motorola Droid, the Samsung Galaxy, and Google’s own Nexus One. Android programs are generally written in Java and run through Google’s “Dalvik” virtual machine, which is optimized for mobile devices. Users may download Android “apps” from the online Android Market such as Google Play Store. Call Recorder is an Android-based mobile application for any type of user for general purposes. Its use is to record the phone calls whether calls are incoming or outgoing. This would help for investigation purpose a lot because a user will be recording every call he/she receives or makes. |
| Group ID: | AY21BECSP70525 and AY21BECSP80525 |
| Title: | Pizza Delivery Chatbot |
| Guide Name: | Mrs. Savyasaachi Pandit, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Unez Batliwala (6) |
| 2) Mihir Mhatre (28) | |
| 3) Santosh Gupta (17) | |
| Abstract: | The modern era of technology has a tremendous impact on the society. With the creation of the ultimate virtual assistants, chatbots have become a popular entity in conversational services. Chatbots are software programs that use natural language understanding and processing. Chatbots are not just restricted to help the user to complete his tasks such as booking a movie ticket or finding the nearest restaurant, but they also provide a source of entertainment, play a major role in home automation projects, give business strategy tips, and help in other ways. In this paper, we will provide an insight into what a chatbot is and the types of chatbots. We also propose a classification based on the current market trends, ease of usability, and requirements. |
| Group ID: | AY21BECSP70526 and AY21BECSP80526 |
| Title: | Virtual Mouse Using Hand Gesture |
| Guide Name: | Mrs. Sampada Watane, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Santosh Tiwari (64) |
| 2) Shivam Singh (56) | |
| 3) Krishnakant Singh (54) | |
| Abstract: | Hand Gesture Recognition plays a key role in human-computer interactions. As we can see that there are so many new Technological advancements happening such as biometric authentication which we can see frequently in our smart phones, similarly hand gesture recognition is a modern way of human-computer interaction i.e., we can control our system by showing our hands in front of webcam and hand gesture recognition can be useful for all kinds of people. Nowadays, Computing is not limited to desktops and laptops; it has found its way into mobile devices like palm tops and even cell phones. But what has not changed for the last 50 or so odd years is the input device, the good old QWERTY keyboard. Virtual keyboard uses sensor technology and artificial intelligence to let users work on any surface as if it were a keyboard. This paper develops an application to – visualize the keyboard of computer with the concept of image processing. The virtual keyboard should be accessible and functioning. With the help of camera image of keyboard will be fetched. The typing will be captured by camera, as we type on cardboard simply drawn on paper. Camera will capture finger movement while typing. So basically this is giving the virtual keyboard. This paper also presents a vision based virtual mouse that will take finger co-ordinates as input. The mouse will use our finger for recognition of our mouse. While to develop a system that will work as virtual keyboard i.e. with the help of camera image of keyboard will be fetched. The typing will be captured by camera, as we type on cardboard simply drawn on paper. Camera will capture finger movement while typing. |
| Group ID: | AY20BECSP70501 and AY20BECSP80501 |
| Title: | Online Virtual Exhibition |
| Guide Name: | Mrs. K. Jayamalini, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Digvijay Bind (06) |
| 2) Krishna Pandey (32) | |
| 3) Brijesh Barai (03) | |
| Abstract: | Virtual exhibition center is online exhibition event management software(saas). where organizer can organize their event virtually. In VEP all sector can organize fair and event. Now a day job fair can’t happen physically. Vep company can find better talent to their firm. education fair can we virtual event .in vep companies/firm can book their virtual. In virtual stall brochure, video and website and one to one chat application. For visitor can view everything and chat also. For admin they can view no of visitor, no. of company and revenue. |
| Group ID: | AY20BECSP70502 and AY20BECSP80502 |
| Title: | Designing of Web Portal for Training and Placement Cell |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shivangi Gupta (14) |
| 2) Jyoti Hingorani (15) | |
| 3) Swati Singh (54) | |
| Abstract: | Design and Development of intelligent web portal for training and placement cell using Machine learning is a web-based application developed for the training and placement department of the college in order to automate the manual activity of training and placement cell. Int the existing system placement officer and other coordinators have to collect student’s information for placement activities, then approving those details, etc. Also if any data of the students need to update then students need to give concern to the training and placement cell. Managing this process manually for all the departments across the institute makes it more complicated and tedious. This is a time-consuming process and takes lots of effort as well. There are possibilities of errors as well. The proposed system removes all the drawbacks of existing systems. The system stores all the personal information of the students, like their personal details, their aggregate marks, their skill set, and their technical skills that are required in the CV to be sent to a company. This system can be used as an application for the TPO of the college to manage the student information with regards to placement. Students, TPO, and T&P staff can view student’s details, but it can be modified only by the student with an authorized service. The system allows TPO to filter out eligible students as per some criteria for a particular company. Using this application TPO can notify students if some placement activities arise. The system also consists of a module that will help TPO to get a detailed analysis of past years placement records. It also consists of a prediction system that will predict whether a student will get placed or not as per their skill sets. This system also consists of a module where students can find relevant study materials for their placements. Also, mock interviews can be conducted through video conferencing using this application. |
| Group ID: | AY20BECSP70503 and AY20BECSP80503 |
| Title: | Improved Video Conferencing Websystem. |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Guruprasad Hiremath (16) |
| 2) Pankaj Naik (28) | |
| 3) Ashish Vishwakarma (62) | |
| Abstract: | The tremendous development in the means of communication has effectively contributed to reducing travel effort and mobility between different areas of the meeting, educational, health, etc. The aim of the study is to create a video conferencing system using (WebRTC) technology. Our findings after designing the web-based improved video conference system users can create a video conference or join an existing video conference. They can also record and keep this conference, share files, take attendance, share desktop and chat with conference members. Video conferences contribute to the preparation and advancement of our country like other developed countries. The study recommended a set of recommendations: completing the web site by linking it to the cloud storage and connecting it to the billing system, integrate it with social media. The result we will get as a communications platform that supported all types of communications including video, audio, chat, email, file sharing, and screen sharing. It could be accessed from a native application installed on the computer or from a browser client. It has a user-friendly dashboard (very similar to Skype) that has buttons (links) in an email signature, website, or business application. It was designed it to be easy and intuitive for everyone. As newer functionalities and features were added to the product increasing its universal appeal. |
| Group ID: | AY20BECSP70504 and AY20BECSP80504 |
| Title: | Alumni Tracking System |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sandhya Gaud (11) |
| 2) Shashank Jaiswal (17) | |
| 3) Shaifali Ansari (70) | |
| Abstract: | Maintaining the data history of the students is a typical functionality in any institution. It is always an added advantage to have an automated, Organization-specific data management system. Unlike other online solutions for alumni data management which either focuses on data management or communication, this system focuses on both data management and communication. The proposed system provides an optimized solution for collecting and managing the alumni data. The system targets a wide range of audience since it is a web application. The system will be an all-in-one place to handle alumni data, to enable communication between alumni and the institution and provides great flexible features to keep track of the data. It will enable quick and easy communication through the built-in forum where the user can share or post information and privacy can be achieved through private chat facility. The user can update their information by simply filling out forms and uploading their file. Admin gets the privilege of viewing the weekly, batch wise, location based and role based reports. One more advantage of the proposed system is that, generally alumni forum will be managed by group of alumni which would be an overhead to them, this system is automated hence does not require maintenance effort from the alumni side. |
| Group ID: | AY20BECSP70505 and AY20BECSP80505 |
| Title: | Intelligent System Design and Development |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tarun Chaudhary (07) |
| 2) Siddharth Jaiswar (18) | |
| 3) Kartavya Jani (19) | |
| Abstract: | Facial detection has recently attracted increasing interest due to the multitude of applications that result from it. In this context, we have used methods based on machine learning that allows a machine to evolve through a learning process, and to perform tasks that are difficult or impossible to fill by more conventional algorithmic means. In this work we propose a Live Attendance Marking System for institutional purpose. This system will enable the department to mark the attendance of students automatically by recognizing their faces. The system is based on the face detection and recognition algorithms and automatically recognizes a student whenever he/she comes across the camera module. Further after the recognition it automatically updates his/her attendance in the database. The basic architecture and all the algorithms used in the model are described in the paper elaborately. Moreover in order to evaluate and enhance the performance of the system many of the filter functions are used which provide the capability to capture and recognize the images even in dull and low light places. This paper also suggests the technique to ensure that a student can mark the attendance only once in a day. The live attendance system is much more efficient to traditional attendance systems both in saving time and in maintaining the database. The main objective of this project is to offer system that simplify and automate the process of recording and tracking students attendance through face recognition technology. It is biometric technology to identify or verify a person from a digital image or surveillance video. |
| Group ID: | AY20BECSP70506 and AY20BECSP80506 |
| Title: | Automated Fake News Detection Using Stance Detection |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Bhanu Joshi (21) |
| 2) Sarah Vejlani (59) | |
| 3) Siddhant Dubey (10) | |
| Abstract: | Society and individuals are negatively influenced both politically and socially by the widespread increase of fake news either way generated by humans or machines. In the era of social networks, the quick rotation of news makes it challenging to evaluate its reliability promptly. Therefore, automated fake news detection tools have become a crucial requirement. To address the aforementioned issue, a hybrid Neural Network architecture, that combines the capabilities of CNN and LSTM, is used with two different dimensionality reduction approaches, Principle Component Analysis (PCA) and Chi-Square. We will use dataset from the Fake News Challenges (FNC) website which has four types of stances: agree, disagree, discuss, and unrelated. The motivation of this research is to determine the relative stance of a news article towards its headline. |
| Group ID: | AY20BECSP70507 and AY20BECSP80507 |
| Title: | Attendance and Information System Using RFID and Web-Based Application for Academic Sector |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Dharmik Joshi (22) |
| 2) Dhruv Pualsa (35) | |
| 3) Reetika Satelkar (41) | |
| Abstract: | This project describes the development of a student attendance system based on Near Field Communication (NFC) technology. The existing conventional attendance system requires students to manually sign the attendance sheet every time they attend a class. As common as it seems, such system lacks of automation, where a number of problems may arise. This include the time unnecessarily consumed by the students to find and sign their name on the attendance sheet, some students may mistakenly or purposely signed another student’s name and the attendance sheet may got lost. Having a system that can automatically capture student’s attendance by flashing their student card at the NFC reader can really save all the mentioned troubles. This is the main motive of our system and in addition having an online system accessible anywhere and anytime can greatly help the lecturers to keep track of their students’ attendance. Looking at a bigger picture, deploying the system throughout the academic faculty will benefit the academic management as students’ attendance to classes is one of the key factor in improving the quality of teaching and monitoring their students’ performance. Besides, this system provides valuable online facilities for easy record maintenance offered not only to lecturers but also to related academic management staffs especially for the purpose of Students progress monitoring. |
| Group ID: | AY20BECSP70508 and AY20BECSP80508 |
| Title: | Speech Emotion Recognition |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sayam Bagrecha (01) |
| 2) Karan Gupta (13) | |
| 3) Amit Kumar Mishra (26) | |
| Abstract: | Recognizing the emotions from the speech is essential for a natural connection between man and machine. In speech emotion recognition, emotional state of a speaker is extracted from his or her speech. A speech emotion recognition system is made to detect the emotion through the audio speech signals. The efficiency of emotion recognition system depends on type of features extracted and classifier used for detection of emotions. In this paper we have taken the audio features of MFCC, MEL, and Chroma. To recognize the emotion of speaker like sad, neutral, happy, angry. With the model proposed of MLP classifier we have achieved accuracy of 78% approximately. |
| Group ID: | AY20BECSP70509 and AY20BECSP80509 |
| Title: | Exam Cell Automation System and Mock Test Generator |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Jyoti Navik (29) |
| 2) Supriya Saini (39) | |
| 3) Akshay Sawant (72) | |
| Abstract: | Performance Analysis System using Web based Solution for MCQ type Online Examination is an effective solution for the college or institute to computerize the traditional way of conducting exams and to simplify conducting examination and generation of result. The project aims to bring in a centralized system that will ensure the activities in the context of an examination that can be effectively managed. This system allows Students and Faculty to enroll themselves into the system by registering and by providing their name, mobile number, email id, password, etc. System is not bounded to one branch. It facilitates the access to examination information of a particular student. The information is stored into the database, which will be provided by the teacher for a respective student. An automated system will do all above stated works in just few clicks. Here the admin updates the Student details and Faculty details or can add or delete them, all the TEST’s are either created or managed by both the admin and teacher login terminal. This system is build using various open source technologies i.e. CSS, JAVASCRIPT, PHP and MYSQL is used to create database. The progress report of a particular exam is stored in the students individual account which can be accessed by all the three entities (admin, teacher & student). |
| Group ID: | AY20BECSP70510 and AY20BECSP80510 |
| Title: | Researching & Implementing Blockchain Technology. |
| Guide Name: | Mrs. K. Jayamalini, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Abhishek Pandey (31) |
| 2) Shreeya Sharma (46) | |
| 3) Yash Bhalani (04) | |
| Abstract: | Nowadays where everything is digitalized, we need to keep that digital data secured and authenticated too. With growing technology, the fraudulent activities are also growing. Even in the field of operations (supply chain management) of any goods; everything is done through digital means. To curb cyber frauds & digital frauds there are many technologies. One such technology called ‘Blockchain’ is currently booming in world because of its various features. We will see further in this paper that how blockchain technology is used in vehicle registration process and how it maintains its data and activities in a more secured and efficient manner. There are various entities related to the motor vehicles such as manufacturer, dealer, buyer, registration authority, insurance company. According to the norms, all the entities must collaborate for the successful registration of the vehicles. However, current system might get encountered with rrors due to input of wrong or incomplete information and some other consequences such as data manipulation which might be a threat to the system. The vehicle registration process is maintained by Regional Transport Office (RTO). RTO also maintains collection of road tax, license, emission certificate, no objection certificate. Maintaining process related to vehicles by the conventional method might obscure the path of making a system more reliable and complete. The current system faces the problem of fraud detection i.e., if a fraud occurred, it is difficult to trace back as different entities such as manufacturer, dealer, RTO, and insurance company works in their own terms. By bringing blockchain technology into the scenario helps us to get a more reliable solution as blockchain technology being a distributed ledger technology and being more promising in data security and privacy helps for carving a more reliable and efficient system. By the means of the proposed paper, it is an approach to solve problems underlying in the vehicle registration system and bind all the different agencies related to vehicles under one portal and get them connected through blockchain technology. Binding them under one portal will make system more reliable as all of them would be in the chain and with blockchain every transaction log along with the timestamp would be available. |
| Group ID: | AY20BECSP70511 and AY20BECSP80511 |
| Title: | PC Component Listing and Recommendation System |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rahul Pandit (34) |
| 2) Shreyas Bane (2) | |
| 3) Someshkumar Mishra (27) | |
| Abstract: | Recommendation Systems are created to recommend appropriate products to users from a collection of products with various complex attributes. Personal Computers have an assortment of components that vary in compatibility with each other. Due to the large number of possible configurations and parameters to consider, it is difficult for laymen to try making their configurations. It is also difficult to compare which components are similar to each other. This project presents a recommendation system for these components using collaborative filtering and a Web App which allows users to create their own configurations. |
| Group ID: | AY20BECSP70512 and AY20BECSP80512 |
| Title: | Weather Monitoring System for Farmers Using IoT |
| Guide Name: | Mrs. K. Jayamalini, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tarun Rai (36) |
| 2) Sumeet Rane (38) | |
| 3) Atharva Padwankar (30) | |
| Abstract: | Weather plays a very important role in farming. It has an extreme influence on crop growth, yield, the impact of pests/diseases, development, water needs, and fertilizer requirements. For mass production, a farming system requires timely monitoring of environmental conditions such as temperature, pressure, rainfall detection, soil moisture, etc. The Weather Monitoring System can be designed based on IOT by using the ESP8266 Microcontroller. The system proposed in this paper is an advanced solution for monitoring the weather conditions at a particular place and make the information visible anywhere in the world. The technology behind this is Internet of Things (IoT), which is an advanced and efficient solution for connecting the things to the internet and to connect the entire world of things in a network. Here things might be whatever like electronic gadgets, sensors and automotive electronic equipment. The system deals with monitoring and controlling the environmental conditions like temperature, relative humidity and CO level with sensors and sends the information to the web page and then plot the sensor data as graphical statistics. The data updated from the implemented system can be accessible in the internet from anywhere in the world. |
| Group ID: | AY20BECSP70513 and AY20BECSP80513 |
| Title: | Sports Event Management System. |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Anushree Rane (37) |
| 2) Roshani Salunkhe (40) | |
| 3) Shama Shaikh (44) | |
| Abstract: | This project is focused on online scheduling and management of sports events which is developed with help of the MVC design pattern. In existing system, participants had to register offline for an event also the event organizers used to manage and schedule sports events on paper. As common as it seems, such system lacks automation, where several problems may arise. This includes the time necessarily consumed by the event organizer to schedule and manage sports events on paper due to which there is risk of losing data. Having a system that can manage and schedule sports events online can really solve all the mentioned problems above. This was the main motive of our system. This online system is accessible anywhere and anytime to keep track of participants, events details. |
| Group ID: | AY20BECSP70514 and AY20BECSP80514 |
| Title: | Handwritten English Word Recognition |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Vishakha Satpute (42) |
| 2) Nikita Dane (09) | |
| 3) Sonali Mamidipaka (23) | |
| Abstract: | Character recognition is one in all the emerging fields within the computer vision. The most abilities of humans are they will recognize any object or thing. The hand transcription can easily be identified by humans. Different handwritings have different patterns to spot. Humans can identify the text accurately but the hand transcription cannot be identified by the machine. It’s difficult to spot the text by the system. During this Handwritten English Word Recognition, we process the input image, extraction of features, and classification schema takes place, training of the system to acknowledge the text. During this approach, we use Convolutional Neural Network (CNN) with various architectures to train a model that can accurately classify words. For the latter, we use Long Short-Term Memory networks (LSTM) with convolution to construct bounding boxes for each character, the system is trained to seek out the similarities, and also the differences among various handwritten samples. This application takes the image of a hand transcription and converts it into a digital text. |
| Group ID: | AY20BECSP70515 and AY20BECSP80515 |
| Title: | Application and Website for Farmers to Sell the Produce at a Better Rate |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Ayub Sayyed (43) |
| 2) Kritika Sharma (45) | |
| 3) Kush Mandal (24) | |
| Abstract: | Farming is the Prime Occupation in India in spite of this, today the people involved in farming belongs to the lower class and is in deep poverty. The Advanced techniques and the Automated machines which are leading the world to new heights, is been lagging when it is concerned to farming, either the lack of awareness of the advanced facilities or the unavailability leads to the poverty in farming. Even after all the hard work and the production done by the farmers, in today‘s market the farmers are cheated by the Agents, leading to the poverty. This application would make all the things automatic which make easier serving as a best solution to all the problems. Farmer‘s e-Market will serve as a way for the farmers to sell their products across the country just with some basic knowledge about how to use the website. The site will guide the farmers in all the aspects. |
| Group ID: | AY20BECSP70516 and AY20BECSP80516 |
| Title: | USA University Recommendation System |
| Guide Name: | Mrs. Ragini Mishra, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sakshi Shetty (48) |
| 2) Prishita Shrivas (49) | |
| 3) Aditi Bhonsle (05) | |
| Abstract: | Recommendation system has become an important part of today’s world. The recommendation system is spread over by large sectors like education, entertainment, health, business, etc. It is also begin used by big companies like Amazon, Flipkart, Netflix, Linkedin, etc. In this paper, we have presented a recommender system for undergraduate & graduate admission seekers based on their GRE, TOFEL, SAT scores, which can help students to choose the best graduate university matching their academic profile. Here we have developed different data mining techniques to transform a database of students of relevant information into a universal database format using academic data of successful students who have already got the opportunity to study abroad. After that, we have developed a machine-learning algorithm that can calculate the similarity between training and test data based on weighted scores using mean squared deviation similarity metrics. The weighted scores are calculated from prior information of successful applicants such as undergrad CGPA, GRE, TOEFL Scores etc. which is in the universal database. We have used the K-nearest Neighbor algorithm and feature-weighted algorithm for calculating top N similar users for the test users and recommend Top K universities to users from N similar users. In this research, we explore the flow, types, and uses of recommendation systems in education. |
| Group ID: | AY20BECSP70517 and AY20BECSP80517 |
| Title: | A Crud Representational State Transfer (Restful) Based Application Programming Interface (API) to Incorporate All of Educational Training Institutes’ Directory Worldwide On a Single Platform. |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rishabh Yadav (66) |
| 2) Abhishek Shukla (50) | |
| Abstract: | We are building an API based on RESTful conventions to construct a system wherein all the information regarding different educational training institutions directory can be curated onto. This allows owners to exhibit their institute on our platform as well as allows users to gain information regarding tons of institutes across the globe at a single click based on their filtering criteria. This being an API is always scalable and dynamic in nature which makes it easier for developers to add features in future and it will allow other developers to use our API as their dedicated backend, compared to they themselves setting it up from scratch, guided by our in-depth documentation, which would contribute immensely to the developer’s community. |
| Group ID: | AY20BECSP70518 and AY20BECSP80518 |
| Title: | A System of Automated Resume Evaluation Using NLP & Ml |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sheetal Singh (53) |
| 2) Tejas Shasane (47) | |
| 3) Deepa Yadav (64) | |
| Abstract: | Recruiting candidates to fit a particular job profile is a task crucial to most of the companies. Due to increasing growth in online recruitment, traditional hiring methods are becoming inefficient. The conventional techniques usually include a labor- intensive process of manually searching through the applied candidates, reviewing their resumes, and then producing a shortlist of suitable candidates to be interviewed. In this era of technology, job searching has become smarter and more accessible at the same time. The companies receive enormous numbers of resumes/CVs, which are not always structured. There have been lots of work done for the job searching process. Whereas, the process of selecting a candidate based on their resume has not been entirely automated. Thisresearch proposes a model of extracting valuable information from the resume and ranking it according to the preference and requirement of the company. To achieve the desired goal, the entire process has been divided into three segments. The first segment consists of converting the unstructured resumes in structured data using NLP, and the second segment consists of the extraction phase, where the relevant information is extracted from the resume and giving them an identifier value. Finally, based on the values assigned, the resumes are ranked accordingly in the final segment. |
| Group ID: | AY20BECSP70519 and AY20BECSP80519 |
| Title: | News Aggregator: A Single Source for All Your Favourite News Portal |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Dilip Suthar (56) |
| 2) Rishabh Kumar Pandey (33) | |
| 3) Ajit Kumar Trivedi (57) | |
| Abstract: | The goal of the bachelor thesis is to research and develop a news aggregation and validation system. In order to do so research on related work and literature is conducted, allowing to create a base for the following points of discussion. Here the focus is on researching properties of the user interface and methods of news verification. After the researched elements are used in order to specify and conceptualize the platform and its design. Moreover it is concluded which method regarding news verification is used. Next the realization of and implementation of the news aggregator and news verifier are discussed. Here each step is discussed individually that is necessary to realize and complete the project. Finally an evaluation takes place which incorporates the creation of three scenarios, a survey, and usability testing. The results show that the system in general is perceived positively. However the feedback shows as well that a more detailed focused approach can enhance the total experience. |
| Group ID: | AY20BECSP70520 and AY20BECSP80520 |
| Title: | Social Distancing Detector |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Isha Gupta (12) |
| 2) Shivang Srivastava (55) | |
| 3) Gaurav Upadhyay (58) | |
| Abstract: | The rampant corona virus disease 2019 (COVID-19) has brought global crisis with its deadly spread to more than 180 countries, and about 3,519,901 confirmed cases along with 247,630 deaths globally as on May 4, 2020. The absence of any active therapeutic agents and the lack of immunity against COVID-19 increases the vulnerability of the population. Since there are no vaccines available, social distancing is the only feasible approach to fight against this pandemic. Motivated by this notion, we propose a deep learning based framework for automating the task of monitoring social distancing using surveillance video. The proposed framework utilizes the YOLO v3 object detection model to segregate humans from the background and deep-sort approach to track the identified people with the help of bounding boxes and assigned IDs. The results of the YOLO v3 model are further compared with other popular state-of-the-art models, e.g. faster region-based CNN (convolution neural network) and single shot detector (SSD) in terms of mean average precision (mAP), frames per second (FPS) and loss values defined by object classification and localization. Later, the pairwise vectorized L2 norm is computed based on the three-dimensional feature space obtained by using the centroid coordinates and dimensions of the bounding box. The violation index term is proposed to limit the non-adoption of social distancing protocol. From the experimental analysis, it is observed that the YOLO v3 with deep-sort tracking scheme displays best results with balanced mAP and FPS score to monitor the social distancing in real-time. |
| Group ID: | AY20BECSP70521 and AY20BECSP80521 |
| Title: | Virtual Assistant for Blind People |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Avanish Yadav (63) |
| 2) Deepak Singh (51) | |
| 3) Sanket Verma (60) | |
| Abstract: | This paper describes the approach to develop a personal assistant that reduces the utilization of input devices like keyboard and mouse on our PC (Personal Computer). Giving commands via speech makes it user friendly. This paper describes the representation model, along with the implementation of this system. Details about the addition of new commands and additional feature of remote access that makes it different from others are also mentioned. A virtual assistant is a software agent that can perform tasks or services for an individual. Sometimes the term “chatbot” is used to refer to virtual assistants generally or specifically those accessed by online chat. This paper also describes challenges of applying virtual Assistant technology. |
| Group ID: | AY20BECSP70522 and AY20BECSP80522 |
| Title: | Smart Measurement of Marketing Activities Using Machine Learning Algorithms |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Avanish Yadav (63) |
| 2) Deepak Singh (51) | |
| 3) Sanket Verma (60) | |
| Abstract: | Advertisement is a costly affair, but very seldom serious attempts are made to judge how far it is effective, how many benefits the costs of advertisement yield, how the benefits, if any, are related to advertisement and so as. Measurement is the key to optimizing any process, and marketing campaigns are no exception. When you establish and measure key performance indicators (KPIs) for your marketing campaigns, you can clearly see what works and what does not. You can then direct your marketing resources toward the most effective campaigns to achieve marketing success. Till recently, the effectiveness of advertisement has been measured in relation to sales. We now design and develop a system that helps to measure the effectiveness of the marketing activities. We use techniques and algorithms like PCA (Principle component Analysis), DA (Dominant Analysis) and machine learning Algorithms like RF (Random Forest Regression), to analyze the data related to marketing activities and build a prediction model that will predict the effectiveness of the activity. Here are some of the common KPIs we will use in our model to measure for each of campaigns, regardless of the type, channel or medium Return on Investment (ROI), Cost per Win (Sale), Cost per Lead, Conversion Rate (or Goal Completion Rate), Incremental Sales. With the help of sufficient and correct data of the activities organized by the company and efficient algorithm, we can design a model that provide the right measure of effectiveness for these activities. |
| Group ID: | AY20BECSP70523 and AY20BECSP80523 |
| Title: | Stock Analysis App (Stock Rubicon) |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rakhi Yadav (65) |
| 2) Shubham Yadav (68) | |
| Abstract: | Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them as they have a number of variables involved. In the short term, they behave like a voting machine but in the long term, it acts like a weighing machine and Hence there is scope for predicting the market movements for a longer timeframe. In recent years, many companies have successfully used ml and various in-house and other algorithms to predict market trends. In this project, we are applying various time-series algorithms like Arima, LSTM, etc to successfully make predictions for future stock market trends. We first analyze the data and find trends and relations between them and see if they are suitable for predictions. We have also made an suitable API to make use in any user interface available. For this project we will demonstrate our predictions using android or web interface.The algorithms used show promising results for analyzing different time-series data. |
| Group ID: | AY20BECSP70524 and AY20BECSP80524 |
| Title: | Mask Detection Using IoT and Cloud Computing |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Suraj Yadav (69) |
| 2) Sachin Mange (25) | |
| 3) Aakash Vishwakarma (61) | |
| Abstract: | The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing face masks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images, we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal is to identify whether the person on image/video stream is wearing a face mask or not with the help of computer vision and deep learning. |
| Group ID: | AY20BECSP70525 and AY20BECSP80525 |
| Title: | Music Genre Classification |
| Guide Name: | Ms. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Ronak Shukla (71) |
| 2) Nitesh Jha (20) | |
| Abstract: | Recent studies confirm that humans respond and react to music and that music has a high impact on person’s brain activity. The average Indian listens up to two hours of music every day. People tend to listen to music based on their mood and interests. This project focuses on creating an application to suggest songs for user based on their mood by capturing facial expressions. Facial expression is a form of nonverbal communication. Computer vision is an interdisciplinary field that helps convey a high-level understanding of digital images or videos to computers. In this system, computer vision components are used to determine the user’s mood through facial expressions. Once the mood is recognized, the system suggests a play-list for that mood, saving a lot of time for a user over selecting and playing songs manually. Mood-Based Music Player also keeps track of user’s details like number of plays for each song, sorts songs based on category and interest level, and reorganizes the play-list every time. The system also notifies user about the songs that are never played so that they can be deleted or modified. |
| Group ID: | AY20BECSP70526 and AY20BECSP80526 |
| Title: | Co-Operative Housing Society Management System Using Android |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Vikas Pandey (73) |
| 2) Swapnil Kadlag (74) | |
| 3) Jaideep Dave (75) | |
| Abstract: | The implementation of Android Application for housing society management. Daily life in city areas has important things to deal with housing society management. Our day to day needs such as Water supply, Electricity, Security and many more things which directly or indirectly plays vital role in residential life, comes under Housing Society Management. In most of the cases, Society management practices a traditional way of communication. This certainly has some limitations and disadvantages. Daily notices, monthly meetings, cultural events, miscellaneous contacts for daily needs, security alerts, high priority communication and many others which may not be conveyed properly in current scenario as most of the things are getting handled manually. It lacks transparency. To overcome the problems occurring due to this time lagging manual system, an automated system needs to be developed. Daily life in city areas has important things to deal with housing society management. Our day to day needs such as Water supply, Electricity, Security and many more things which directly or indirectly plays the vital role in residential life, comes under Housing Society Management. In most of the cases, Society management practices a traditional way of communication. This certainly has some limitations and disadvantages. Daily notices, monthly meetings, cultural events, miscellaneous contacts for daily needs, security alerts, high priority communication and many others which may not be conveyed properly in current scenario as most of the things are getting handled manually. It lacks transparency. To overcome the problems occurring due to this time lagging manual system, an automated system needs to be developed to reduce the human efforts. |
| Title | Co-operative Housing Society |
| Guide Name | Prof. Vinayak D. Shinde |
| Group Members | 1.Hemant Bhojane [01] 2.Babalu Yadav[64] |
| Abstract | “Simplicity is the ultimate sophistication”. Co-operative housing society management system exactly follows this phrase and aims at making the current situation in the society simple and efficient. Society management system reduces the conflicts that arise within the society by providing facilities such as online voting system, online hall allocation, etc. It automates certain attributes that occur within the society and makes it easy for the members of the society an easy access to society happening and on goings. Society affairs management aims at simplifying and managing the different affairs in your society. A society is the well-formed committee in the building or a particular area. The application revolutionizes the way people deal with the affairs and issues of the society. This leads to ease of handling even complicated matters. Planning of meeting, discussion of issues, doubts regarding society law, communication with each other, group discussion is possible using this application. |
| Title | Implementation of Forecast Mechanism Using Dynamic Data |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | With billions of followers all around the world, cricket enthusiastic use the internet for variety of reasons to stay updated with the latest happenings in the data mining will be performed using “Datascope”.The project involve fundamental 3 types of analyses – generation of association rules, performing clustering and generation of decision trees. The application is built using Weka Data mining tool. The statistics for different players are retrieved periodically from howstat.com. The project will give us a hands-on experience in analyzing huge masses of data and will actually teach us the values of data mining. |
| Title | Partial Face Recognition For Criminal Investigation |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | Over the past two decades, a number of face recognition methods have been proposed in the literature. Most of them use holistic face images to recognize people. However, human faces are easily occluded by other objects in many real-world scenarios and we have to recognize the person of interest from his/her partial faces. In this paper, we propose a new partial face recognition approach by using feature set matching, which is able to align partial face patches to holistic gallery face automatically and in robust to occlusions and illumination changes. Given each gallery image and probe face patch, we first detect key points and extract their local features. Then, we propose a Metric Learned Extended Robust Point Matching (MLERPM) method to discriminatively method local features sets of a pair of gallery and probe samples. Lastly, the similarity of two faces is converted as the distance between two features sets. Experimental results on three public face database are presented to show the effectiveness of the proposed approach. |
| Title | Customization Using Web Services |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Now a day’s Customer Relation Management has become very important factor in defining the enterprise growth because of economic globalization and rapid development in e-commerce. Today’s world enterprise uses the context data mining tool to extract the very critical information that can help in strategic decision making by the managerial decision maker. The idea that the context is important when predicating customer behavior has been maintained by scholars in marketing and data mining that context does matter when modeling the behavior of individual customers and that it is possible to infer the context from the existing data with reasonable accuracy in certain cases. In this, we study how important the contextual information is when predicting customer behavior, decreasing the costs of gathering contextual information and how to use the application of Data Mining method in Customer Relation such as Classification, Clustering, Association mining, Prediction and Correlation. When building customer models. These findings have significant implications for data miners and marketers. |
| Title | Policy Agent |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Today mobile is an essential tool; a mode of communication which is prevalent in every section of the society. Our objective is to utilize mobile as tool to facilitate an efficient, convenient and quick mode of electronic collection primarily through a Mobile based solution. The process of MI is to map the targeted customers with the help of its MI(micro insurance) collection agent. The individual who goes and collects money from the customers. The MI agents meets the target customer and initializes the collection process by invoking the Micro Insurance App through his mobile device. The MI Agent authenticates himself by entering his username and password and policy number as well as mobile number of the customer. Based on the policy number, the MI Agent’s Mobile application collects the outstanding amount, Name of the policy etc. from the IC-MI MI server and displays the same on the MI Agent’s Mobile. The MI agent verifies /communicates the Name/Policy details etc. to the customer. The customer pays the amount as per policy guideline amount to MI agent. The information with the Customer’s Policy Number and amount collected is sent to the MI Server. The MI agent and the customer receive a message on successful payment made. The following receipt is generated for the MI Agent and the customer. |
| Title | Centralized Wireless Home Automation System |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | The theme of this project is to have centralize control of the home, housework or household activity on one command of your smartphones through app and hardware switches. These are products which facilitates such wireless switches. One of them is Belkin, which is more emphasizing on hardware use and has many disadvantages in their software part or smart phones applications, which are reflected in reviews of their apps. Our project has the capability to overcome these disadvantages and also, increase the user friendliness of it with additional features. Unique features of our project are electricity consumption chart and graph, feedback from electrical components back to smart phone (most unique), Artificial Intelligence. The project is based on establishing dynamic Bluetooth connection on switches, electrical devices and on the smart phone and with apk app. Bluetooth connected Arduino switches components and microprocessor for feedback purpose from device with some LED light indication. Application of this project can be used at commercial as well as Institutional level. It is one of the software which can be used on daily basis in home and colleges in order to cut down the waste use of Electricity consumption and achieving automation. |
| Title | Database Driven Website For Student Recruitment |
| Guide Name | Prof. Uday Naik |
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| Abstract | Training and Placement is the crucial part of any educational institute in which most of the work till now is being done manually. The aim of our project is Automation of Training and Placement unit that will include minimum manual work and maximum optimization, abstraction and security. This is web application which will help students as well as the administration authority to carry out each and every activity in this department. The main objective of this project DATABASE DRIVEN WEBSITE FOR ASSISTANCE IN STUDENT RECRUITMENT is automatic calculation, sorting, updating and maintenance of data i.e. AUTOMATION. The data currently maintained is in the form of access sheets so any one access of these data if the administrator has logged in, we are, going to maintain the privilege access by storing the password in encrypted form that will enhance the security. The data about students is not in optimizing form so while sorting its is not sorted efficiently. Our aim is to maintain data in maximum optimized form. The objective of design is to determine how the problem will be solved. Data elements are grouped to physical data structures, screens, reports, fields and database. Our system will ensure easy and efficient placement options for eligible students as per mentioned criteria of various firms. We also include automatic mailing system for updating eligible students both the different firms and their recruitment details. |
| Title | Credit society transaction system |
| Guide Name | Prof. Kiran Patil |
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| Abstract | We are going to implement the “Credit Society Implement System” for making the manual work automated so there will no need of the paper, the aim of making this is to make the manual work automatic so it will be fast and correct, this automated system will be helpful for the credit society admin, agents and its members. The members will be given an account number with username and password. Whenever members will demand his transaction details it will be available 24×7. Collection agents will also be satisfied with the outcome of this project as the system will be automated. Also the collection agent will be provided with the unique username and password so that they can log in with their own account. |
| Black Book Serial Number | |
| Title | Semantic web semantic search engine |
| Guide Name | Prof. Uday Naik |
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| Abstract | Most of the existing search engines retrieves web pages by means of findings exact keywords. Traditional keyword-base search engines suffer several problems In this project, we develop a Semantic Search Engine. First a fuzzy ontology is constructed by using fuzzy logic to capture the similarities of terms in the in the ontology, which offering appropriate semantic distance between terms to accomplish the semantic search of keywords. The semantic search engine can thus automatically retrieve web pages that contain synonymous or terms similar to keywords. Second, users can check or uncheck the page results based on their needs to show or hide it next time they search for it. The totally satisfactory degree of keywords scan be aggregated based on their degrees of importance and degree of satisfaction. Third, the domain classification of web pages offers users to select the appropriate domain from searching web pages, which exclude web pages in the inappropriate domains to reduce the search space and to improve the search result. |
| Title | Edunet learning system |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Edunate learning channel system is basically a system which aims at creating an E-learning portal for a campus. This allows registered users of the system to join a course available in the site and access the material published for the course. People can join as students of a course or a faculty for a course. There will be an admin approval page where admin can approve the faculty members for the course. The E-learning home page should contain the title of the course and a brief description. There will be a discussion forum for each course where students can interact, an announcement section ,which contain the latest announcements ,and the course content section which give the links for the material available for the course. For faculty member there will be an extra link for uploading the course contents in a zip file format. |
| Title | Location Alarm |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | The idea of using the mobile handsets and phones is to deliver the valuable services. Location based services or LBS refer to a set of applications that exploit the knowledge of the geographical position of a mobile device in order to provide services based on that information. Location based services (LBS) provide the mobile client personalized services according to their current location. They also open a new area of developers, cellular service network operators, and service providers to develop and provide values added services; advising clients of current traffic conditions, providing routine information, helping the users to find nearby shopping malls. Location-based services offers many merits to the mobile clients. For the mobile user, the example of location based services are:
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| Title | Verifying Cryptographic protocols using formal methods |
| Guide Name | Prof. Uday Naik |
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| Abstract | Cryptographic protocols provide secured service sin communication. Methods like model checking and theorem proving are used to verify the correctness of cryptographic protocols. But model checking methods can only check a bounded number of states, and theorem proving methods generally do not find attacks. Our work provide a method of verifying protocols automatically and also finding attacks on protocols automatically if there is one, by using the automated theorem prover SPASS format, and then verify the protocol in SPASS . We also provide a method to figure out the steps of attack from the SPASS output. The advantage of our method are that it is completely automated; we use ordered resolution for efficiency and also equations to model Cryptographic primitives, while differ our methods from other methods. |
| Black Book Serial Number | |
| Title | Dynamic Timetable Generator |
| Guide Name | Prof. Kiran Patil |
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| Abstract | A college timetable is temporal arrangements of sets of lectures and class rooms in which all given constraints are satisfied. Creating such timetable manually is complex and time consuming process. Computer assisted Time table Generator can save a lot of precious time of creator who are The manual system usually involved. The manual system usually ends up with various classes clashes either at same room or same teacher having more than one classes at one time. These are just due common human errors which are very difficult to prevent in such process. To overcome these process people usually taking the previous years’ time table and modifying it but still it is tedious job to incorporate changes. To overcome such problem we propose to a dynamic timetable generator. This project introduces a practical time tabling algorithm a capable of taking care of both strong and weak constraints effectively, used in automated time tabling system. So that teachers and student can view. |
| Title | Enhanced Automated Departmental Management System For Educational Organization |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | World is contracting with the growth of Web Technologies. As the number of users is increasing day by day, facilities are also increasing. We are planning to create a new and an innovative application which can be used by colleges to manage the staff records efficiently. We have usually observed that staff members i.e. the faculties face many problems while managing the student’s records and other academic records. Keeping this basic idea in mind we are going to create an application named as “M.I.S.”. This application will basically have four modules such as Attendance Records, Notice Board, Exam Records, and feedback system etc. Within this modules a faculty will be able to do a lot of more stuff like generating “Defaulter List”, “Issuing notices to students, other junior faculties”, “Managing Exam Records”, “Analysis of Student’s Academics”, Getting feedback from faculties to improve the department working”, “Getting overall Departmental Analysis” etc. This application will reduce a lot of manual task which is done by the teachers usually to calculate attendance and doing all the analysis work. Faculties will get more flexibility to maintain all the records easily. No faculty can do partiality in attendance or exam marks to support nay student as all the records will be under observation by senior faculties like H.O.D. of the department, Vice Principal, Principal etc. The students will also get the flexibility to cross check there record so that if any wrong data found they can use feedback system to get the issue resolved. The “Leave Application” which used to be approved manually before now will be approved through this application, In this case the applicant faculty can view the status if it is approved or not and also the senior staff like H.O.D., Vice Principal and Principal can have a check on the leaves granted and the previous records too. |
| Title | RTO Automation System |
| Guide Name | Prof. Neha Jain |
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| Abstract | RTO Automation System is basically a digital system to overcome the manual task. It is the system which handles the work based on NFC (Near Field Communication). Many modern smart phones and tables have an integrated scanner that can read NFC chips. All one needs to do for driver’s license checks is attach a single low-cost NFC chip to the driver’s license. The NFC chip stores a unique combination of numbers. This ID will read by the smartphones and the NFC to web application with the underlying NFC technology and uniquely associated with the driver’s master data in the web application. We are going to develop a mobile application, database and NFC technology that enables the exchange of data between different devices over distances. In our project, we will use the smartphones equipped with NFC can be paired with NFC Tags or stickers which can be programmed by NFC apps to automate this task. We proposed and describe a secure mobile payment system. Solution for use in a traditional instore environment, which contains the NFC secure element. Communication of NFC, and could replace the use of payment or service specific smart cards. |
| Title | Healthy Diet Recommendation System |
| Guide Name | Prof. Vinayak D. Shinde |
| Group Members |
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| Abstract | “An ounce of prevention is worth a pound of cure. A survey of medical study reveals that people set bigger possibilities of countering free radicals and preventing illness by consuming healthy foods and increasing their immunity. People suffer from multiple diseases due to poor eating habits. In the current scenario, fast food has become an important part of the daily routine as it’s easily available but consumption of these fast food may increase the risk of disease like Heart attack, diabetes and obesity as well. Healthier diet helps us to maintain our health and also keeps as away from many fatal disease. For better recovery from diseases or surgeries an individual might have special needs per their medical profile, cultural background and the nutrient requirements. Existing system provides with a generalized diet charts for the clients. These diet charts do not consider the specification of the clients or medical issues. They just give generalized chart that everyone can follow. In this system the client will first update their health and medical issues. Only after the health and medical profile is updated and diet will be suggested to the client as per the requirements. Also the diet keeps us changing as the medical profile gets updated. Reviews will be taken from the users to keep the diet chart up to date. The system will make use of ID3 and C4.5 fro generation of diet charts. The Decision Tree Algorithm will be used for altering and updating te charts based on Clients reviews. |
| Title | Self Growth |
| Guide Name | Prof. Neha Jain |
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| Abstract | Self-growth is an Android application which has all the information regarding the undergraduate courses, the idea behind this project is to give awareness to each and every student about their destiny early on. It has a forum section where the users having this application can interact with each other and can ask doubt regarding any question where the admin will reply with appropriate suggestion or solution. We are going to implement this project for making the career counselling for undergraduate very easy. The aim for developing an android application is that any common man can use this application via data connectivity i.e. Internet as maximum people use android phones. The user opens the application where he or she can enter into any of the cluster of internet and can get ample of information on the dedicated courses which are stored in the database moreover there is an interactive section where user can ask any questions and the doubt can be solved by the admin by fiving the appropriate solution to the users questions. |
| Title | Fast Air Connect |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Theme of project: The theme of this project is to have wireless transmission of data across laptops and Android smart phones at a speed much higher than Bluetooth.
Existing Technology: There are rarely any product which facilities such wireless transmission. One of them is Super Beam, which is not feasible to use and has many disadvantages. Our project has the capacity to overcome these disadvantages and also, increase the user friendliness of it.
Disadvantages of Super Beam:
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| Title | Preventing System From Anonymous Users |
| Guide Name | Prof. Kiran Patil |
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| Abstract | Misbehaving activities of malicious users have been a major problem in anonymizing network. In normal network, misbehaving activity can be routinely checked and the IP address of malicious users can be clocked, but in anonymizing network, blocking IP address is not possible. To prepare a system in which, server can blacklist misbehaving users, therefore blocking users without compromising their anonymity. Users acquires an authentication, a special type of pseudonym, to connect to server. The system can blacklist a user by obtaining a seed for a particular request. Server can therefore blacklist anonymous users without knowledge of their IP address. Anonymizing networks such as Tor allows users to access Internet services privately by using a service of routers to hide the client’s IP address form the server. The success of such networks, however has been limited by users employing this anonymity for abusive purposes such as defacing popular web sites. Web sites administration routinely rely on IP address blocking to disabling access to misbehaving users, but blocking IP address is nit particular if the abusers route through an anonymizing network. As a result, Administrators block all known exit nodes of anonymizing network, Denying anonymous access to misbehaving and behaving users alike. To address this problem, an efficient solution is proposed, Nymble, a system in which servers can “blacklist” misbehaving users, thereby blocking users without compromising their anonymity. This system is thus agnostic to different server’s definitions of misbehavior servers can blacklist users for whatever reason, and the privacy of blacklist users is maintained. In Nymble, users acquires an ordered collection of nymbles, a special type of pseudonym, to connect to Websites. Without additional information, these nymbles are computationally hard to link, and hence, using the stream of nymbles simulate anonymous access to services. Websites, however, can blacklist users by obtaining a seed for a particular nymble, allowing them to link future nymble from the same user those used before the complaints remain unlikable. Servers can therefore blacklist anonymous users without knowledge of their IP addresses while allowing behaving users to connect anonymously. |
| Title | Smart Security Surveillance System with Intrusion Detection and Handling |
| Guide Name | Prof. Neha Jain |
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| Abstract | Current video surveillance system which use CCTV camera requires constant human vigilance for effective outcome. Our project tries to remove that need of human and makes those cameras smart by implementing human detection algorithm on them. This report is also written with the purpose of documenting the design and development of a prototype human motion detection system. Here, we presented some basic ways to perform a human motion detection algorithm and also a new way to consider for background updating using spatial information instead of temporal. This project makes use of OpenCV library to capture camera and detect intrusion using comparision technique. Once the comparison is done and an intrusion is found, it senda the image to administrator. |
| Title | AAMCI MAATI AAMCI MANSE (THE SYNERGISTIC FARMING SYSTEM) |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | India is an agricultural country. Several percent of the Indian people are farmers. They are the backbone of the nation. They produce he food crops and oil seeds. They produce common commercial crops. The produce raw material of our industry. Hence they are life blood of our nation . Nowadays, in a number of states, the days of plugging the fields with the help of oxen are almost over except or the farmers who are too poor to purchase a tractor. The farmers has many kinds of work to do. He ploughs his fields. He sows the seeds. He water the field regularly. He has to take care of his crops. He has to protect them against hail and frost. HE has to apply compost and fertilizers. He also has to sprinkle insecticides and pesticides to protect the crops against pests and insects. Most of the old farmers are illiterate. But the farmers of new generation are mostly educated. Their being educated helps them a lot. They got soil of their fields tested in a laboratory. Thus, they know what kind of crop will grow best in their fields. The aim of our project is to make available the information of various crops based on the land quality, the water supply, compost and fertilizers, the insecticides and pesticides needed for the optimum growth of the crop through simple user’s friendly software. It will also contain the information about the newer facilities provided by the government to these farmers, their right and rules and regulations to be followed by them. In chapter 1, we have given an introduction and description about our project; and also we have defined our project that how much and which particular area we are going to cover to implement our project. In chapter 2, we have mentioned a review of literature survey and some of existing system features and the new features that we are going to provide in our project. Such as dynamic nature of our web application i.e. the end user will be able to select a location on that instance and get every information related to type of soil, different type of crops that can be cultivated in that soil. etc. The chapter 3, specifies the system requirements i.e. functional and non-functional requirements and along with some hardware and software requirement for our web application; which describes the front end and the back end of our web application. The chapter 4 describes design details of our project which contain the DFD i.e. Data Flow Diagrams for our project that gives the entire idea about our flow of project. A data flow diagram (DFD) is a graphical representation for the “flow” of data through information system, modeling its process aspects. A DFD is often used as a preliminary step to create an overview of the system, which can later be elaborated. The chapter 5, describe implementation plan for our project that how we started our project and how we made a way to the implement the project. In this we have provided the phases through which we went in (months required and tasks performed) order to achieve the goal. In chapter 6 describes implementation details of our project that specifies the coding for different webpages in our project. It also contain the flow of our project to the end user. The chapter 7 gives an overview on the technologies that we have used in our project. The chapter 8, describes the details about the test classes. We performed some test cases on our project to observe whether it gives the desired output or not. We have positive response for the test cases that we performed on our web application i.e. the result of test cases we pass. The chapter 9 concludes our project as what are the goals of our project and how we will be looking forward to achieve those aims and objectives and also how useful our project is for end users specially the farmers. Also this chapter says about the future scope for the project that how it can be useful for end users. The chapter 10 contains list of references that helped gathering information for our project. |
| Title | Unhabit: Android based Application’s Session Scheduler |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | There are many applications in the market which are available to limit the user from accessing the applications without the proper authentication process on the user’s phone. These application are used to provide such features for all the application available on the phone. And there are other application available which are also allows users to block the call services. Messaging services and other service providers. From the unknown users. The call blocking application will block the number for a specific a specific time period as set by the user. The proposed system will help the users to block the application on their phone. However rather than blocking the application for a specific time period, this system will give the user a specific time to access the applications. Which means. The application will thus help the users to set the session limit for each application available on the phone and thus help the user to set the session time limit for an entire day. The implantation of this project will help the user to eradicate the habit of over-using the application on the phone. Since we are also over-obsessed with the social and gaming application that it is affecting our mental state of mind, drastically, thus this project sees the overall aspects of today’s life and hence it intends to ease up the user’s life in this over-exposed world of mobile application. |
| Title | Exam Grade Management |
| Guide Name | Prof. Vinayak D. Shinde |
| Group Members : |
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| Abstract | College examination software is useful for displaying complete result of particular student. In current system all the activities are done manually. It is very time consuming and costly. Our system software deals with various activities related to student academics. This software include;
Result analysis:During analysis, data is collected on various files, decision point and transaction handle by present system.In our system software we have the provision for adding the details of the students. The marks of the students are added in the database and so students can also view the marks whenever they want.In this software we can register as a user and can provide with unique login ID and password
The technology we use in this are :-
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| Title | Automated Payroll System(A-Pay) |
| Guide Name | Prof. Uma Goradiya |
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| Abstract | In today’s world data management is much more important, using conventional system is becomes a pain staking process which results in much more difficult to manage the data. So here payroll system comes in the picture which focuses on managing the faculties’ data including their leaves, attendance, deduction details and Personnel Management etc which helps in managing the data more efficiently and easier to access. It also provides features such as payments intimation through SMS and graphical representation of growth of the college and faculties. All databases of faculties are secured and can be accessed only by the authorized user. The payroll system was developed to override the problems prevailing in the practicing manual system. This software is supported to eliminate and in some cases reduce the hardships that are faced by the existing system. Moreover this system is designed for the particular need to carry out operation in a smooth and effective manner. Thus by this all it proves it is user friendly. A-PAY should take care of Personnel Management, Payroll, and Attendance Management by using biometric machine, Leave Management, statutory compliances like PT, PF, ESIC, TDS and IT etc. The system should be able to generate pay slip, attendance and salary summary, graphs and other MIS reports. It will provide SMS intimation for attendances and salary to each faculty and it also provides appointment letter, promotion letter to the faculty etc. This System provides an option to restore or get the backup of all databases of faculties by just clicking a button. Payroll is method of administering faculty’s database in an organization. Proper documentation of every faculty there is no need to look after manual folder and files. Complete detail of collage maintaining payroll software on a single click. |
| Title | Virtual classroom |
| Guide Name | Prof.Garima Mishra |
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| Abstract: | Virtual Classroom represents an innovative shift in the field of learning, providing rapid access to specific knowledge and information. It represents an interface between the students and a professor and provides personalized learning materials to the users. It offers a possibility to the attendees to share different resources at once and work with them as if they were at the same place where (real) resources are. In the system design, agents are used as entities that work on different tasks in the system. A set of agents of the same type is responsible for handling different users and their requests. The cooperation among agents is established through the act of exchanging messages. A wide variety of classroom techniques are being advocated to increase learning: active learning, collaboration, integration of assessment and feedback. |
| Title | Online voting system |
| Guide Name | Prof. Neha Jain |
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| Abstract | This abstract will introduce the online voting system: Android based Application’s. Today suggestion or review about any product or any topic can be easily handled by this polling system. In other hand the rapid development in operating system of the mobile phones gives rise to the application development on the large scale. The main reason behind the tremendous development in android application development is that the android is an open source operating System. It means that the software developers can have customization rights. As well as the software development kit provides tools to build and run android applications. The paper will be describing the basic idea of the project online polling system on android and its advantages, disadvantages and applications. |
| Title | A Real- Time Strategic Game – Hunt Master |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | In an era where video games are beginning to surpass the film industry’s gross product, the gaming landscape has changed quite drastically during the last console cycle. Most people play games, a natural extension of our childhood, and have connections to Monopoly and solitaire to cite just two. Today, games are found in almost everyone’s pocket in the form of applications (apps) downloaded to smartphones and tablets. The global user base of online games exceeds 2 billion users, according Credit Suisse estimates. We intend to develop an exciting real-time strategy game which involves much of an exciting in First Person mode. In video games, thefirst personrefers to a graphical perspectiverendered from the viewpoint of the player character.Games with a first-person perspective are usually-based, wherein the game displays what the player’s avatar would see with the avatar’s own eyes. Thus, players typically cannot see the avatar’s body, though they may be able to see the avatar’s weapons or hands. This viewpoint is also frequently used to represent the perspective of a driver within a vehicle, as in flight and racing simulators. We will use Unity as a platform to create the model and C# language to code the movements of the player and the environment |
| Title | Get Ur Kaarigar |
| Guide Name | Prof. Pravin Jagid |
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| Abstract | In today’s world the working class do not acquire enough time to manage their household problems along with their professional life. To maintain their house they have to depend on others to find a perfect contact for professionals to complete the task on hand. Even if people find a worker for the repairs work they are not available on the required time slot. This way the work to be done is postponed for the time and is done when the repairing professional is free from his other jobs. This way just because of the indirect approach made to the workers the work is not done on time. This web App will be a solution to this problem and will help the users to handle their household works along with their professional life easily and simultaneously. This Web App will have two major segments for efficient and secure working. One Segment will have the user registration and login where the user will enter his work details that need to be done and on what time slot. On the other hand the web app will have some professionals in the field who will provide their contacts to the web app database. The quality of work done by the workers will be the assured by the respective professional. The amount to be given to the worker on completion of work will be fixed before the work starts and will be taken care by the web app to assure the user about the amount to be given on SMS. |
| Title | REMOTE DROID |
| Guide Name | Prof. Garima Mishra |
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| Abstract | As we all know, joystick is used for gaming purpose and available in various types in today’s market like in the form of USB enables or Bluetooth enabled. Android based phone, through the help of Wi-Fi or Bluetooth, it will act as a gamepad and play your game from specific distance using your phone. There is a setting menu by which you can also launch your gamepad as keyboard using your android phone. Even not that, you can also enable your android phone as wireless mouse to control the various activity of your system. Its optimized code will able to connect on any latest version of window operating system like windows 7 or windows 8.By default, all gaming control keys will appear on screen, but users can increase the controlling button, as per their choice and requirements. |
| Title | Image Steganography |
| Guide Name | Prof. K.Jayamalini |
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| Abstract | In the present digital scenario secure communication is the prime requirement. Commonly, cryptography used for the said purpose. Another method related to cryptography is used for the above objective is Steganography. Steganography is the art of hiding information in some medium. Here we are using image as a means for covering information. Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. For hiding secret information in images, there exists a large variety of steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications may require absolute invisibility of the secret information, while others require a large secret message to be hidden. Image steganography proposes a job to transfer the embedded secure data to the target destination without being detected through the unauthorized user. Various carrier file formats would be used, but digital images are large enough used due to the frequency and huge users on the worldwide Internet. To hide the secret data in images, there are large ranges of stenographic methodologies exist some are complex in used than others method. Every method has respective strong and weak points. |
| Title | Android Application for Indoor Positioning Using Augmented Reality. |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Indoor positioning systems help in the localization of objects and spaces inside a building, where Global Positioning System (GPS) and cellular network don’t work effectively. These systems can be much more useful than just localizing objects, if they are augmented with relevant information on the user interface. With this application we would demonstrate, one such use case where an indoor positioning system can be made more useful by rendering relevant 3D graphics on the mobile display. Localization is achieved by creating a location API simulator and using the orientation sensor in phone and tablet. Relevant graphical information based on the users context and selection, is rendered using OpenGL on top of the live camera stream. User studies indicated that overlaying points of interest on the camera view significantly enhanced the user experience in indoor navigation. Localization can be made even more robust with the help of object detection techniques. Our attempt is to demonstrate our application the strong untapped potential in augmented reality techniques in the context of indoor. The application will be a generic solution and can be easily configured to be use in any indoor space such as malls, hospitals, museums, etc. |
| Title | Development of fuzzy neural network software for groundwater modelling |
| Guide Name | Prof . Pravin Jangid |
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| Abstract | So far fuzzy logic has been extensively used to better analyze and design controllers for chemical processors. It has also been used for other applications like parameter estimation of nonlinear continuous time systems but in general fuzzy logic has been intensively used for heuristics based systems .Recently fuzzy logic has been applied successfully, in many areas where conventional model based approaches are difficult or not cost effective to implement . Mechanistic modelling of physical systems is often complicated by the presence of uncertainties. When models are used as purely predictive tools, uncertainty and variability lead to the need for assessment of plausible range of outcomes. A systematic uncertainty analysis provides insight into the level of confidence in model estimates, and can aid in accessing how various possible model estimates should be weighed. In this paper, generalized fuzzy α –cut is used to show the utility of fuzzy approach in uncertainty analysis of pollutant transport in ground water. Based on the concept of transformation method which is an extension of α – cuts, the approach shows superiority over conventional methods of uncertainty modelling .A 2-D groundwater transport model has been used to show this utility of this approach. Results are compared with commonly used probabilistic method and normal fuzzy α –cut technique. In order to provide a basis for comparison between the two approaches, the shape of the membership functions used in the fuzzy methods are the same as the shape of the probability density function used in Monte-Carlo Method. The extended fuzzy α – cut technique will present a strong alternative to the conventional approach. |
| Title | Helping Hands |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract : | In today’s world, food wastage is an alarming issue in India. Our street and garbage bins, landfills have sufficient proof to prove it. Weddings, canteens, hotels, social and family functions, households spew out so much food. Wastage of food is not indicative of only hunger or pollution, but also many economic problems.People’s high standard of living has affected all this wastage of food, clothes etc due to quick change in habit. Instead of wasting such things we can make them put in use by donating to needy, orphans and many below poverty line people. As many people wish to donate such things to needy but there is no source available through which they can make it available to them. We thereby are trying to develop an android application through which we can satisfy the needs of the people in ways as possible as people are used to smart phones. By analyzing user’s requirements, we will create a user friendly interface and at backend database will be there which will provide tracking information and delivery reports which will help to inspire people for donations. We will make it beneficial for needy people .Although our basic aim is food wastage reduction, our application will also fulfill other requirements like clothes, books, etc. |
| Title | Software Development Scheduling and Tracking |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract | We all know that in the real world we, as project managers, are given the deadline of the project before we even have a chance to plan for it. This is a good enough reason why we need to get better at scheduling and tracking our projects. To complete the software project within a specified time limit, we allocate a start and end date that determine the milestones and outcomes of the tasks, determine which tasks are depend on another task to complete its operation, save time, build consistency, enhance visibility scheduling along with special tracking features that will update the project manager about the shortcomings as well as delayed time line. Team Leader will update the progress weekly or monthly depending on the scope of the project they are working on. This information will reflect in the database and Project Manager will be notified automatically about updated status. Resource constrained project scheduling is a major problem in current systems available, data allocation problem at database level, incomplete knowledge or false information given to Project Manager and different software models which cannot be used with single system. Our project will overcome this problem using various models (Waterfall, RAD and Spiral model) that can be selected and used for development of project to provide more flexibility, visual representation by either using a graph or pie-chart that can be provided for better understanding of the development scheduling and tracking. So our project will help to minimize cost, duration of project and overtime of employees with proper validation, outcomes and milestones. |
| Title | Secure Online Transaction using Text Steganography and Visual Cryptography |
| Guide Name | Prof.Neha Jain |
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| Abstract | This project present the approach for secure online transaction using cryptography and text steganography. An online payment system allow people to make payment through a channel using various security tools to hide the personal detail, card detail, during the payment transaction. However the security from tool is not completely protected an information in specific form. This expose a consumer payment information to hackers that can be misused. In this project we use a new approach for online transaction to hide the information in a securely and secure transaction. A consumer sends his payment information directly to a payment portal verifying the consumer, allows the transaction and sends a payment receipt to the appropriate merchant .we will use the text steganography and visual cryptography to secure online transaction to protect consumer data from hacker and an internet susceptibilities. |
| Title | PC Assembly Based On User Benchmark |
| Guide Name | Prof. DeepaliPatil |
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| Abstract | Nowadays, purchasing branded Desktop PC from a single Vendor is getting expensive day by day. Also consumers are required to rely on single Vendor for their whole Desktop PC and thereby compromising on the hardware so as to reduce cost. To overcome this problem a new approach was developed i.e. to assemble the PC by purchasing its essential component from different vendors. A large number of websites allow users to post reviews about product they bought. People who find it difficult to understand the technical specification of a product often tends to read reviews. There are thousands of reviews of customers available on different e-commerce portal related to a product. So it is difficult for the customers to get an idea about the product from wide range of reviews. In this project we aim to summarize the customer’s reviews in factual form using part-of-speech tagger (POS), Lexicon algorithm, and Naive Bayesian classifier which are all based on Natural language processing (NLP). Our focus is to cluster different user opinion or reviews and find the similarities and dissimilarities, so as to extract sufficient information to provide appropriate rating to a product. There are number of product available in the market with different vendors and it creates a bit confusion in the mind of consumer that which component to buy. Therefore it becomes necessary to design effective system to summarize the pros and cons of product characteristics so that consumer can quickly find their favorable product so as to develop an efficient and cost effective desktop PC. We have developed a rating system which rates each computer peripherals based on its performanceand cost and thereby calculating the final rating of assembled system virtually so that consumers can judge whether the assembled product meets all the requirement as expected. |
| Title | Introduction of CRM in Pharmacy Administration |
| Guide Name | Prof. Pravin Jhangid |
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| Abstract | Customer Support and Inventory management is the most basic problem of a company. It is however a vital part of any retail business, whether it’s a traditional brick-and-mortar shop or an online website. It provides us with critical information about the condition of our products such as whether you are low on stock and your inventory needs to be replenished and customer relationship. It gives us insight into which products are selling well and which products are not. This information allows you to make better business decisions on how to market your products and whether or not to carry them. Approximately 85.0% of annual Pharmacy budget is spent on buying materials and supplies which including medicines. We can bring about substantial improvement in the pharmacy inventory and expenditures by the CRM and inventory control techniques. A transaction history file is maintained automatically of entire as well as individual customer so that detailed view of the receipts and shipment of product is available through the system. Our software is a complete medical store administrative software designed so as to ease the work load of medical store professionals and improve business taking into consideration customer support. The main feature includes benefits for the customer by facilities like Membership, automatic SMS reminders etc and invoicing, inventory and stock control, accounting, client and vendor management. This software helps you to track all the customer details and their health records along with profits, loss, profitable clients and products of medical shop. Moreover it’s a medical shop accounting software that uses the combination of CRM and conventional inventory control techniques. It is a flexible and adaptive software suited to medical shops or stores or pharmacies of any size. |
| Title | Intelligent Knowledge Based Conversation |
| Guide Name | Pro. Uma Garodiya |
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| Abstract | In this paper we have proposed an application called CHATTER BOT. Chat bot can be online based or desktop based but we are going to develop application Intelligent Knowledge Based Conversation (I-KBC) which is desktop based. Chat bots are simple to use, in which you “chat” textually with the bot over a computer screen. The bot usually introduces itself. You respond with a statement or question. The bot consults its knowledge base or programming language and replies. The conversation continues as long as it is interesting or useful for the human. There are hundreds of different bots, developed for a variety of reasons; they range from hardwired programs with simply coded patterns to systems built upon embedded learning algorithms that continuously expand their language knowledge base. The I-KBC is based on programming language AIML which is used to store the bots knowledge and profile. Bots are created purely for fun or as part of interactive games, Internet information services, web site guides, ecommerce agents and more. Many bots are designed to provide specific information and direct the dialogue to specific topics. Most chat bots have no capability of learning from conversations and maintaining its emotions in reaction to every previous scenario. These concepts are important, according to our vision, because the main goal of a bot should be to mimic real human conversations. More or less, we visualize this character as a personalization of someone who has some knowledge about some things but is constantly learning everything that is said to it. We can see this as a kid who doesn’t know enough but with time his/her knowledge will expand and future conversations with that kid will hopefully be more solid. |
| Title | Application of Intelligent Agent in Hospital Scheduling System |
| Guide Name | Pro. DeepaliPatil |
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| Abstract | The current standard operating procedure in healthcare environment for patient registration and appointment scheduling are time consuming and somehow tiresome. Normally, we see patients coming to the hospital and filling out registration forms and waiting to be called or patient calls in for getting appointment and waits for the response for an agreed date. In some places appointment can be done online via web but still patient has to walk in with the appointment card to be swiped by the front desk personnel before being sent to the concerned doctor. However, no facility like priority appointment of patients has been developed. Also the appointment does not take into consideration emergency situations like Accidents and so on and the scheduling reported is only for general patient appointment only. Taking these important aspects into consideration, we here have developed an intelligent agent based system towards negotiating and collaborating with the agents of doctors and the hospital for the appropriate appointment time for the patient which would take the above factors into consideration.In these project we are using two algorithms Genetic Algorithm (GA) and Priority Scheduling with SJF. The agents are developed using JADE Application , to make a proper decision regarding making an appointment for patient and other hospital staff. |
| Title | Web-based Security: Honeypots |
| Guide Name | Prof. Neha Jain |
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| Abstract | The current standard operating procedure in healthcare environment for patient registration and appointment scheduling are time consuming and somehow tiresome. Normally, we see patients coming to the hospital and filling out registration forms and waiting to be called or patient calls in for getting appointment and waits for the response for an agreed date. In some places appointment can be done online via web but still patient has to walk in with the appointment card to be swiped by the front desk personnel before being sent to the concerned doctor. However, no facility like priority appointment of patients has been developed. Also the appointment does not take into consideration emergency situations like Accidents and so on and the scheduling reported is only for general patient appointment only. Taking these important aspects into consideration, we here have developed an intelligent agent based system towards negotiating and collaborating with the agents of doctors and the hospital for the appropriate appointment time for the patient which would take the above factors into consideration. In these project we are using two algorithms Genetic Algorithm (GA) and Priority Scheduling with SJF. The agents are developed using JADE Application, to make a proper decision regarding making an appointment for patient and other hospital staff. |
| Title | Smart File Manager – Sorting Filesand Folders into Folders as Categoryand Sub-Categories using Metadata and User Templates |
| Guide Name | Dr. Vinayak D. Shinde |
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| Abstract | Today, we are using many digital devices which store all our information as data in the form of files. Our files (Photos, Music, Videos, Documents, code, etc.) are spread out across multiple devices inside numerous folders. If these files are not arranged properly or using a logic, it becomes a tedious task in locating the required file as we have to remember where those files are or use a search tool. We currently have to manually specify a filename so that we can easily identify the file. Smart File Manager System is a GUI based application that we are proposing to make that will organize digital files and folders of a user in the same way we organize real world objects into categories and sub-categories. Here, a folder will be considered as Category Folder by our system if it finds a ‘.rfs’ file in its root. ‘.rfs’ contains the rules that will be used by our system for sorting. This is being done so that the data of the user is organized in a way that will help them easily retrieve their data through file explorers and search tools to optimize their workflow and make it easier for the user to handleand remember their data. In short, the user will select their data through the application and specify the Category/Sub-Category in which their want to be organized. The rules set for the specified Category/Sub-Category will be applied and the data will be manipulated/renamed and placed into the corresponding folder. |
| Title | Traffic Rules Violation Management System Using NFC |
| Guide Name | Dr. Vinayak D. Shinde |
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| Abstract | The project involves developing an Digital Driving License which provides a proof of identity and a way to access details about license holders past record. The existing driving licenses consist of two memory sections, one for the public and another for personal data. The personal space will hold license data so that it can be checked by government officials in cases of any fraud or other criminality. The space which is provided for public usage will be offered to service providers and will be easily able to be read by an NFC enabled mobile phone. |
| Title | Wear our World using Sixth Sense (WoW-SST) |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Sixth Sense is a wearable gestural interface that augments the physical world around us with digital information and lets us use natural hand gestures to interact with that information. We’ve evolved over millions of years to sense the world around us. When we encounter something, someone or some place, we use our five natural senses to perceive information about it; that information helps us make decisions and chose the right actions to take. But arguably the most useful information that can help us make the right decision is not naturally perceivable with our five senses, namely the data, information and knowledge that mankind has accumulated about everything and which is increasingly all available online. Although the miniaturization of computing devices allows us to carry computers in our pockets, keeping us continually connected to the digital world, there is no link between our digital devices and our interactions with the physical world. Information is confined traditionally on paper or digitally on a screen. Sixth Sense bridges this gap, bringing intangible, digital information out into the tangible world, and allowing us to interact with this information via natural hand gestures. ‘Sixth Sense’ frees information from its confines by seamlessly integrating it with reality. This project deals with development of few real time applications such as calculator, camera, analog clock and a power point presentation using Sixth Sense Technology. |
| Title | Disease Prediction System using Data Mining |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | The successful application of data mining in highly visible fields like e-business, commerce and trade has led to its application in other industries. The medical environment is still information rich but knowledge weak. There is a wealth of data possible within the medical systems. However, there is a lack of powerful analysis tools to identify hidden relationships and trends in data. Disease is a term that assigns to a large number of heath care conditions related to the body. These medical conditions describe the unexpected health conditions that directly control all the body parts. Medical data mining techniques like association rule mining, classification, clustering is implemented to analyze the different kinds of general body based problems. Classification is an important problem in data mining. Given a database contain collection of records, each with a single class label, a classifier performs a brief and clear definition for each class that can be used to classify successive records. A number of popular classifiers construct decision trees to generate class models. The data classification is based on Decision Tree algorithms which result in accuracy, the data is estimated using entropy based cross validations and partition techniques and the results are compared. The general body disease database is clustered using the K-means clustering algorithm, which will remove the data applicable to any general body disease like flu, cough, cold, viral .etc from the database. In this project, the disease prediction system will carry out data mining in its preliminary stages, the system will be trained using machine learning and data mining. The system will initially be fed data from different sources i.e. patients, the data will then be pre-processed before further process is carried out, this is done so as to get clean data from the raw initial data, as the raw data would be noisy, or flawed. Then the feature extraction will be performed on the data, this is to collect the relevant information from the initial raw set of data. This data will be processed using Data mining algorithms, the system, will be trained so as to predict the disease based on the input data given by the user. |
| Title | Scene Generation From Text using NLP |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Translating elusive ideas or statements into visual scenes is quite a daunting task. First the thought has to be laid out explicitly and clearly in the form of a written statement which acts as the foundation for the conversion. Then a professional strives to create a mental image of the given statement. Finally, another professional starts placing models according to the abstract image created in the previous stage in a model rendering software. Thus converting a single text to corresponding visual element is a rather challenging task. Our project aims to automate this entire transformation. It promises to convert any arbitrary descriptive text into a representative scene. Our system parses a user written input text, extracts information using Natural Language Processing (NLP) and tags relevant units. It then associates every object with model and places them according to the derived relations and spatial dependencies. Ultimately the user can make changes and minor adjustments to the final scene using Blender in-build controls. |
| Title | Enhancing Cloud Security using ECC Algorithm. |
| Guide Name | Prof: Neha Jain |
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| Abstract | A cloud typically contains a virtualized significant pool of computing resources, which could be reallocated to different purposes within short time frames. The entire process of requesting and receiving resources is typically automated and is completed in minutes. The cloud in cloud computing is the set of hardware, software, networks, storage, services and interfaces that combines to deliver aspects of computing as a service. Share resources, software and information are provided to computers and other devices on demand. It allows people to do things they want to do on a computer without the need for them to buy and build an IT infrastructure or to understand the underlying technology. Through cloud computing clients can access standardized IT resources to deploy new applications, services or computing resources quickly without reengineering their entire infrastructure, hence making it dynamic. The core concept of cloud computing is reducing the processing burden on the users terminal by constantly improving the handling ability of the cloud. All of this is available through a simple internet connection using a browser connection. |
| Title | GST Computation System |
| Guide Name | Prof.Neha Jain |
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| Abstract | We begin by elaborating on the important concept of – cascading effect of taxes. It is also, logically, referred to as “taxes on taxes”. It is simple to illustrate – say A sells goods to B after charging sales tax, and then B re-sells those goods to C after charging sales tax. While B was computing his sales tax liability, he also included the sales tax paid on previous purchase, which is how it becomes a tax on tax. The GST is introduced to combat this problem, among many others. The main purpose of our software will making the invoices task easy and handles all user GST invoicing/billing needs. Customer will select the product and proceed for the invoices by retailer. Retailer will enter the product detail in system and amount of the product. System will select the Tax percentage base on the particular product and calculate the actual amount and tax.It will show the total amount of product including GST rates and generate the Invoice. |
| Title | Restaurant Management System Using NFC Technology |
| Guide Name | Prof.Neha Jain |
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| Abstract | Near Field Communication (NFC) is one of the latest technologies in radio communications and being a subset of RFID technology, it is growing at a very brisk rate. NFC technology provides the fastest way to communicate between two devices and it occurs within a fraction of a second. It has various applications in Mobile Communications and transactions. An NFC supported ordering system in restaurants is discussed as one potential use of this technology. Customers, who visit restaurants, usually have to wait for being serviced by a waiter. One of the solutions for this is to enable the customer to order his food directly from his table without the need of a waiter by using near field communications technology. |
| Title | Smart Cart Using Arduino |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | There has been an emerging demand for quick and easy payment of bills in shopping malls. Quite often, when shopping in a supermarket shoppers are frustrated at locating the items on the shopping list and no assistance is available. To overcome these problems, we have designed a smart trolley. It also provides a centralized and automated billing system using RFID. Each product of shopping mall, super markets will be provided with a RFID tag, to identify its type. Each shopping cart is implemented with a Product Identification Device (PID) that contains microcontroller, LCD, an RFID reader. Purchasing product information will be read a RFID reader on shopping cart and it is displayed in LCD which is interfaced to the controller. At the billing counter, the total bill will be transferred to PC by Bluetooth module. Every product in the shop or a mall will have an RFID tag on it. Each Cart will have an RFID reader implemented on it. After the payment of money, the Cart must get reset. There will be a USB that will be connected to the pc of the billing system through which the bill is generated. If the product is removed, it must get deleted from bill too, for that a ‘delete’ button is implemented next to LCD display. There will be a LCD 16*2 display. Display Product Info, Expiry Date, and Better Alternative. |
| Title | Efficiently Analysing And Detecting Fake Reviews |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Robust Trust Reputation Systems (TRS) provide actionable information to support relying parties taking the right decision in any electronic transaction. In fact, as security providers in e-services, TRS have to faithfully calculate the most trustworthy score for a targeted product or service. Thus, TRS must rely on a robust architecture and suitable algorithms that are able to select, store, generate and classify scores and feedbacks. In this work, we propose a new architecture for TRS in e-commerce application which includes feedbacks’ analysis in its treatment of scores. In fact, this architecture is based on an intelligent layer that proposes to each user (i.e. “feedback provider”) who has already given his recommendation, a collection of prefabricated feedbacks summarizing other users’ textual feedbacks. A proposed algorithm is used by this architecture in order to calculate the trust degree of the user, the feedback’s trustworthiness and generates the global reputation score of the product. |
| Title | Opinion Summarization and Classification for Online Product Reviews |
| Guide Name | Prof. Uma Goradiya(Guide) |
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| Abstract: | The growth of E-commerce has led to the invention of several websites that market and sell products as well as allow users to post reviews. It is typical for an online buyer to refer to these reviews before making a buying decision. Hence, automatic summarization of users’ reviews has a great commercial significance. However, since the product reviews are written by non-experts in an unstructured, natural language text, the task of summarizing them is challenging. This paper presents a semi-supervised approach for mining online user reviews to generate comparative feature-based statistical summaries that can guide a user in making an online purchase. It includes various phases like preprocessing and feature extraction and pruning followed by feature based opinion summarization and overall opinion sentiment classification. |
| Title | Look Based Media Player. |
| Guide Name | Prof. Uma Garodiya |
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| Abstract | In this project, we are developing an advanced media player which plays and pauses the video by detecting the users face looking at screen or not and also the field of computer vision based hand gesture interfaces for Human-Computer Interaction (HCI). System monitors whether the user is looking at the screen or not using a web camera. If yes then doesn’t interrupts the video and allows it to play. Along with these, the web camera will also detect the users hand gestures which can be used for performing various events like increasing or decreasing the volume, changing to next video or previous video, etc. In case if the user is not looking at the or say the system couldn’t detect the users face then it immediately stops the video. Currently we propose to build prototype for exploring the use of marking menus in gesture-based interaction for controlling the Media player. |
| Title | Placement predictor and course recommender system |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The performance in education sector in India is a turning point in the lives of all students. As the ability of the student of being placed is influenced by many factors, it is essential to develop predictive data mining model for students’ performance so as to identify the weak students’ skill wise and study the influence of the dominant factors on their performance. In any education system, student records i.e. number of KT’s, skills in the bag, course interest and academic performance may be an important consideration to analyse various trends. Since all the systems are now computer based information system data availability, modification and updating are a common process now. Although student achievement is highly influenced by past evaluations, an explanatory analysis has shown that the person’s area of interest is also an important parameter. As a direct outcome of this project, more efficient student performance prediction tools can be developed, improving the quality of students and enhancing educational institutions resource management. |
| Title | Hand Gesture recognition and Voice Conversion for Dumb and Deaf person |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | Communication is the main channel between people. There are many languages spoken all around the world and interpreted. “special people”, that is people who have difficulty in speaking and hearing “The dumb” and “The deaf” people respectively find it difficult to understand what exactly the other person is trying to communicate and so with the deaf people. Sometimes people interpret these messages wrongly either through sign language or through lip reading or lip sync. This project is made in such a way to help these specially challenged people hold equal par in the society. |
| Title | Shoppers Paradise With Recommender System |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | This project is a web based shopping system for an existing shop. The project objective is to deliver the online shopping application into asp platform. This project is an attempt to provide the advantages of online shopping to customers of a real shop. It helps buying the products in the shop anywhere through internet by using an android device. Thus the customer will get the service of online shopping and home delivery from his favourite shop. This system can be implemented to any shop in the locality or to multinational branded shops having retail outlet chains. If shops are providing an online portal where their customers can enjoy easy shopping from anywhere, the shops won’t be losing any more customers to the trending online shops such as flipcart or ebay. Since the application is available in the Smartphone it is easily accessible and always available. We try to provide the customer with better quality recommendations. This System includes Inventory Management. |
| Title | Smart Classroom |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The project “SMART CLASSROOM” provides a simple interface for maintenance of student information. This project can be used in any educational institutes to maintain the records of student easily. Since maintaining the information through paperwork is very difficult and also very time consuming and also today the world is going digital. Therefore, this project is created to reduce the paperwork and it is very less time consuming. Smart Classroom consists of different module such as student module, staff module, notice module, quiz module, attendance management module etc. Our main purpose is to create a website which will manage the working of these different modules. The interconnectivity among these modules reduces the time to perform different operational tasks. Smart Classroom is a web app where all the basic information of student, staff stored automatically. This project manages the information of various departments including staff information, notice board, examination, result etc.This system contain feature of an online conversation using chat box and also contain video conversation. Automatic generation of ID card. In case the ID card is lost then student can generate a college ID from here. Parents can easily view his child regular college activities. Parents can also contact directly with the faculty member through our proposed system. By few clicks one can easily gather the information about any student or staff and live classroom activity. |
| Title | Quality Education System through Paperless Evaluation |
| Guide Name | Prof.Uma Goradiya |
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| Abstract | The maintenance of the entities record is an integral part of an organization and plays a significant role in improving the organization performance effectively. The current system for the education being used at most of the institution relies on an inflexible paper system that users outdated, labor-intensive technology and it requires sufficient administrative efforts. We are emphasizing on developing this project that will help the different college entities to use the services provided in the college by making use of paperless work in different college institutes. For this, we are implementing distributed application “Quality education system through paperless evaluation” based on web technology. It adds more functionality to already abundant work done in college institutes. Using this project most of the important work of college institutes can be done without making use of paper in college premises. This project involves different entities of the institute to log in and perform their respective work when they require. Our proposed system aims to provide benefits to different college entities to do their work efficiently and timely manner. Quality education system through paperless evaluation system will develop to significantly reduce staff workloads it requires less administrative efforts for all activities of college. Our proposed system will provides a common platform for training and placement services, student attendance and staff information. |
| Title | Two Wheeler Service Center Management System |
| Guide Name | Prof. Neha Jain |
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| Abstract | Now a day technology is on a boost. People wish to live a luxurious life with minimum physical work. Here we provide a software application for “Two wheeler service centre management system”. The software will enable any two wheeler user to search and communicate with any two wheeler service centre in nearest area. This software can easily manage the customer information and service relevant inventory. Service scheduling is of the major of this software. The software will easily recognize the regular customer and generating daily service report. Currently Albion store is facing the problem of mismanaging their customer information and service schedule. Due to this they lose their important customers and it takes lot of time to do our daily operation. Albion store is currently using semi-automated excel sheet to maintain our customer and service information which has a lot of limitation and difficulties. To solve the above problem, service centre management software is compulsory because it has the ability to store the data of service information in a centralized database. The software is totally reduced to redundant of customer information and service information. The service centre software helps organization to maintain the customer information securely. In short, this application is the solution for an entire life cycle of service management. |
| Title | Cryptography Using Color Substitution |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The emerging threats to information security are increasing at an alarming rate. The most influential and universal approach to counter such threats is encryption. Traditional encryption techniques use substitution and transposition. Substitution techniques map plaintext into ciphertext. In all traditional substitution techniques, characters, numbers and special symbols are substituted with other characters, numbers and special symbols. In this project, an innovative cryptographic substitution method is proposed to generate a stronger cipher than the existing substitution algorithms. This method emphasizes on the substitution of characters, numbers and special symbols with color blocks. This algorithm of substitution is based on Play Color Cipher. The cryptanalysis done on this will prove that the cipher is strong. |
| Title | File Transfer Through SMS |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | In the last few years, SMS (Short Message Service) has made a big impact on the way we communicate. Instead of communicating over the phone using voice, people rather prefer SMS not only for messaging but also for information exchange. This project proposes a method of building an extendable generic application which can be used to search a file on remote desktop and mail it to user. Mobile users send required information through a SMS to a mobile gateway that forwards it to the generic application. Given the user-provided information, the generic application automatically searches the file on remote machine and mails it to the user. This project is based on the concept of searching a file on remote machine by just sending a simple SMS. The purpose of the project is to search a file on remote machine by just sending a simple SMS and get that file mail it to user if found. The application will be kind of desktop application where it will check for new incoming SMS. The application will first check whether the mobile number through which SMS has been sent is authorized to search the file or not. If not application will send back an acknowledgement saying that user is not authorized to search the file. If the user is authorized, than application will start the file search and if the file is found it will mail it user on the emailed that is received in SMS. While sending SMS user has to send the option, file name, file path (optional) and email id. |
| Title | Sentiment Analysis for Twitter |
| Guide Name | Prof. Neha Jain |
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| Abstract | With the rise of social networking epoch, there has been a surge of user generated content. Micro blogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time micro blogging service, Twitter, where users post real time reactions to and opinions about “everything”. In this paper, we expound a hybrid approach using both corpus based and dictionary based methods to determine the semantic orientation of the opinion words in tweets. A case study is presented to illustrate the use and effectiveness of the proposed system. |
| Title | Tap and Shop |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | This project presents a novel method to create an Android based M-commerce application using NFC. It would require Mobile Devices which support NFC technology. NFC stands for Near Field Communication technology which is a short-range, high frequency, low bandwidth radio technology that allows transferring data within few centimeters. In traditional shopping, the customer needs to physically pick up the items to be purchased and carry cash or credit/debit cards with them to make payments. The application mentioned here would read the NFC tag(s) of the product(s)and add it to the shopping cart in our application. It would also provide methods to change the quantity of product/s purchased and edit the cart. Along with this the customer would be informed about the on-going offers in the store. Payment could be made through cash or online using existing payment methods. The paper would also throw light on NFC based payments. |
| Title | Project Managementand Recruitment Management System |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Academic project management is a major issue which is faced by many educational institutes in India. The main reason for this is there is no automated system followed in any institute. College management/staff gathers all the project reports ,academic details from students and store them physically in some locations and similarly, at the time of recruitment the HRs have to study all of them manually which is time consuming. To overcome this problem we have decided to develop web application which is useful for every institute. College Project Management And recruitment Management System is an ideal system for students and college. |
| Title | Helping Hand |
| Guide Name | Prof. Neha Jain |
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| Abstract | The proposed work is part of a project that aims at the control of a cursor based on hand gesture recognition. This goal implies the restriction of real-time response and the use of unconstrained environments. In this report we present an algorithm to track and recognise hand gestures for interacting with computer. For the hand segmentation step we use the colour cue due to the characteristic colour values of human skin, its invariant properties and its computational simplicity. To prevent errors from hand segmentation we add the hand tracking as a second step. Tracking is performed assuming a constant velocity model and using a pixel labelling approach. From the tracking process we extract several hand features that are fed into a finite state classifier which identifies the hand configuration. The hand can be classified into one of the four gesture classes or one of the four different movement directions. Finally, the system’s performance is evaluated by showing the usability of the algorithm in a personal computing environment. |
| Title | Soldier Tracking and Health Monitoring System |
| Guide Name | Prof. Pravin Jangid, |
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| Abstract | In today’s world the security of the nation is depends on the enemies warfare and so the safety of the soldiers is considered as important role in it. Concerning the soldiers safety there are many instruments to view their health status. In soldiers security, bio-sensors systems gives different types of small physiological sensors, Biomedical sensor, transmission modules and processing capabilities and can thus facilitate low-cost wearable unobtrusive solutions for health monitoring. GPS used to log the longitude and latitude so that direction can be known easily. These devices are being added to firearms, and militaries where possibility of embedding GPS devices into soldiers vests and uniforms so that field commanders can track their soldier’s movements in real time.GSM module can be used for effective range of high-speed transmission, and soldier-to-soldier wireless communications that will be required to relay information on situational awareness, tactical instructions, and covert surveillance related data during special operations reconnaissance and other missions. So by using these equipment’s we are trying to implement the basic life guarding system for soldier in low cost and high reliability. |
| Title | Movie Recommender System |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | Movie Recommender is an expert system for movie recommendation. We will implement the system using machine learning and cluster analysis based on a hybrid recommendation approach. The system will take in the user’s personal information and will predict their movie preferences using well-trained support vector machine (SVM) models. Based on the SVM prediction it will select movies from the dataset, then it will cluster the movies and will generate questions to the users. Based on the user’s answers, it will refine its movie set and finally it will recommend movies for the users. For a system to understand a movie, it needs movie features such as movie cast, movie genre, movie plot, etc. With these information, a system can better categorize movies. User written movie reviews is one such source of features. It carries substantial amount of movie related information such as location, time period, genre, lead characters and memorable scene descriptions. Since a user written movie review contains both useful and useless information, some text pre-processing is required before it can be used by a RS. |
| Title | Drowsy Driver Identification System |
| Guide Name | Prof. K.Jayamalini |
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| Abstract | Driver fatigue is a significant factor in a large number of vehicle accidents. Recent statistics estimate that annually 1,200 deaths and 76,000 injuries can be attributed to fatigue related crashes. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Because of the hazard that drowsiness presents on the road, methods need to be developed for counteracting its affects .The aim of this project is to develop a prototype drowsy driver identification system. A Drowsy Driver Identification System has been developed, using a non-intrusive machine vision based concepts. The system uses a small camera that points directly towards the drivers face and monitors the drivers eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. The system first needs to find the face and then locate the eyes and the mouth. After detecting the eyes, find whether they are open or closed. Drowsiness is also detected by detecting whether driver is yawning or not. Implementing such a system would reduce the number of fatal accidents that are caused by drowsiness and would help the society. |
| Title | Smart Yatra |
| Guide Name | Prof. K.Jayamalini |
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| Abstract | It is generally based on the idea of providing the best possible travelling to the user. The main goal of the proposed work is to improve travelling by adding the necessary additional features into the application, like accurate bus timings, train timing, train number, auto stand, fare of trains, buses, autos, even the sharing prices of auto rickshaw and moreover adding a GPS tracker into it and SOS for emergencies. This application accepts input in the form of selection of the source and destination and display the entire details about the routes and also track the location of the respective bus and give the output in various routes like minimum distance, minimum cost and minimum modes of transportations. It provides information related to local places and local stores like local stores offers, rating, etc. It also provides information related to auto stand and share autos. With this application we are providing a platform to local thing. |
| Title | Choreography Randomizer |
| Guide Name | Prof. Uma Goradiya |
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| Abstract | It is an application that uses smart features to give steps for a specific music based on the music beats or the style of dance and or a selection of a dance move for a specific beat. We will have to feed dance moves in a database and depending on the song beats and used a machine learning language which will use random algorithms depending on the music beats. The person can select also a dance style if the user wants the dance to be choreographed in a specific dance style. Also the user will be able to check a step and put it in a beat manually if he wants. If the person doesn’t likes the choreography then the user can click random button and a new choreography will be made which may or may not be based on the dance style. The output will be animated humans doing human like dance moves. The front end will be machine learning program which uses randomized algorithms. The back end will be a database which will store the dance moves. |
| Title | Ngen Server Application |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Today’s world is moving fast towards virtualization and cloud; hence it becomes very important for the organizations to encrypt the critical data. This application provides this facility by enhancing the AES algorithm by adding custom encryption settings in the algorithm. Since AES has been cracked by attackers in the past. Any known algorithm has a probability of being cracked. So hence we here propose a configurable algorithm that allows user to modify the algorithm each time he encrypts text. The algorithm uses AES and adds some custom configurable steps in the system where user may modify the encryption process as needed. In this application more steps of encryption are added in order to make the data impossible to decipher by attackers. |
| Title | Asynchronous Web Based Proxy-Server |
| Guide Name | Prof. Neha Jain |
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| Abstract | We intend to design a web based proxy server which will be faster, asynchronous, and that can continuously stream content to make it more scalable. For example, in Windows 8 home screen, you can see the widgets loading many different content like weather feed, Flickr photo, YouTube videos, RSS from many different external domains. All these are done via a Content Proxy. Content Proxy serves million URLs which is quite an engineering challenge for us to make it both fast and scalable. Sometimes Content Proxy serves megabytes of data, which poses even greater engineering challenge. |
| Title | Voice Control Household Appliances |
| Guide Name | Prof.Uma Goradiya |
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| Abstract | Automation is a trending topic in the 21st century making it play an important role in our daily lives. The main attraction of any automated system is reducing human labour, effort, time and errors due to human negligence. With the development of modern technology, automation has become a necessity for everyone. Applications are being developed on Raspberry Pi’s that are useful to us in various ways. Another upcoming technology is natural language processing which enables us to command and control things with our voice. Combining all of these, our paper presents a micro controller based voice controlled home automation system. Such a system will enable users to have control over every appliance in his/her home with their voice. All that the user needs is a control circuit |
| Title | Precision Farming |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract | Project smart farming for precision agriculture is based on technology that we use in farming electronically and through softwares. These projects implement several technologies undertaken by Raspberry Pi INC, etc. The main purpose of these projects is to provide a farmer a new generation device that can be use in agriculture field over any electronics device using Transmission Control and Internet Protocol through any smart phone or Internet operating device. The technology implemented for this purpose is Internet Of Things operating integrated circuits. This project will reduce the gap between customizable electronics devices and programming application or softwares since because of these project electronic devices can be programmed, interfaced and controlled with any other Object Oriented Languages like Java and Web based language like HTML, PHP, Node. JS, etc. The microprocessor that we use here is Raspberry Pi that will include all different types of sensors in cooperated. This robot will operate in farming place where it can sense data from agriculture like soil quality, Water Level in soil, fertility, Humidity and temperature that requires crop to grow at specific time period it will analyze data that is received from agricultural area and give farmer a statistical data that will help farmers to solve their problems. |
| Title | Examination System for Visually Impaired |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | The Online-Examination for visually impaired People is basically an online examination system. It reflects the justification and objectivity of examination. It helps to release the workload of teachers and students. The current online examination systems do not allow visually impaired people to appear for the examination. Hence, the proposed application is designed for the visually impaired people so that they can appear for examination, it is also useful for the other handicapped people with upper limb disability. This research work provides the speech user interface for visually impaired people to interact with the application. The proposed application will dictate the questions to the candidate with the help of Speech Synthesis. The application will accept the answers from candidates through voice commands using Speech Recognition. The proposed system also allows users (examiners/teachers) to add their questions to conduct the examination. The questions can be added easily by uploading a file. As the proposed system is online, result generation will be quick. |
| Title | Social Enhancement Versatile Approach (SEVA) |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract | S.E.V.A. is an initiative to provide a platform to the masses of the country to raise their voice against day to day civic problem they are facing. It is a mobile application which is free and convenient to use. This application is all about providing a flexible option to the masses of the country to cast their opinions and views on day to day problems they face. It will provide the feature of amalgamating the views of the people towards an issue and reach out to the authorities or the person responsible to look after the matter. If a person finds a problem in any area e.g. road problems, he/she can capture a picture along with a short description about the problem and the information then can be submitted by the user on the S.E.V.A Portal. Individuals can give their votes over the issues posted and accordingly the issues will be prioritized. The Issues which needs immediate attention on the basis of the polling will be driven to the incumbent personality who is a part of the government. |
| Title | SLRTCE Schedular |
| Guide Name | Prof. Neha Jain |
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| Abstract | The SLRTCE PocketApp acts a medium for the students to help, to communicate, to share, to authenticate, to know the different activities, to participate in the events, to set reminder, to get updates from the forums. The main components of this application are Database, User Interface, Reminder, Server for maintaining and organizing the users and Push notification. Once the user has installed the apk file of the application in the respected Smartphone the first step will be authentication where in the application will prompt for distinct user’s information, this information will be stored in the database installed in the server computer and will be used further for acknowledgment .Following this registration process a username and password will be provided to the applicant through which the person will be able to login the application as an authentic user to the system created. Now, the user is over to number of options like my-schedule, my-lecture’s notes, my-library, personal chats, groups, college events, forum, record lecture and reminder. The user can also get information about event details or about any precedent event in the past. Features of Application include Ease of use Simple interface which allows students to browse through various options and also easily comprehensible options are provided, Schedule Experience Allow students to bring multiple schedules up side by-side and compare options. Provide the best schedule experience And Quick Installation One to two steps of registration and the user will be able to begin with the application. |
| Title | Smart Classroom |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The project “SMART CLASSROOM” provides a simple interface for maintenance of student information. This project can be used in any educational institutes to maintain the records of student easily. Since maintaining the information through paperwork is very difficult and also very time consuming and also today the world is going digital. Therefore, this project is created to reduce the paperwork and it is very less time consuming. Smart Classroom consists of different module such as student module, staff module, notice module, quiz module, attendance management module etc. Our main purpose is to create a website which will manage the working of these different modules. The interconnectivity among these modules reduces the time to perform different operational tasks. Smart Classroom is a web app where all the basic information of student, staff stored automatically. This project manages the information of various departments including staff information, notice board, examination, result etc. This system contain feature of an online conversation using chat box and also contain video conversation. Automatic generation of ID card. In case the ID card is lost then student can generate a college ID from here. Parents can easily view his child regular college activities. Parents can also contact directly with the faculty member through our proposed system. By few clicks one can easily gather the information about any student or staff and live classroom activity. |
| Black Book Serial Number | |
| Title | Quality Education System through Paperless Evaluation |
| Guide Name | Prof.Uma Goradiya |
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| Abstract | The maintenance of the entities record is an integral part of an organization and plays a significant role in improving the organization performance effectively. The current system for the education being used at most of the institution relies on an inflexible paper system that users outdated, labor-intensive technology and it requires sufficient administrative efforts. We are emphasizing on developing this project that will help the different college entities to use the services provided in the college by making use of paperless work in different college institutes. For this, we are implementing distributed application “Quality education system through paperless evaluation” based on web technology. It adds more functionality to already abundant work done in college institutes. Using this project most of the important work of college institutes can be done without making use of paper in college premises. This project involves different entities of the institute to log in and perform their respective work when they require. Our proposed system aims to provide benefits to different college entities to do their work efficiently and timely manner. Quality education system through paperless evaluation system will develop to significantly reduce staff workloads it requires less administrative efforts for all activities of college. Our proposed system will provides a common platform for training and placement services, student attendance and staff information. |
| Title | Two Wheeler Service Center Management System |
| Guide Name | Prof. Neha Jain |
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| Abstract | Now a day technology is on a boost. People wish to live a luxurious life with minimum physical work. Here we provide a software application for “Two wheeler service centre management system”. The software will enable any two wheeler user to search and communicate with any two wheeler service centre in nearest area. This software can easily manage the customer information and service relevant inventory. Service scheduling is of the major of this software. The software will easily recognize the regular customer and generating daily service report. Currently Albion store is facing the problem of mismanaging their customer information and service schedule. Due to this they lose their important customers and it takes lot of time to do our daily operation. Albion store is currently using semi-automated excel sheet to maintain our customer and service information which has a lot of limitation and difficulties. To solve the above problem, service centre management software is compulsory because it has the ability to store the data of service information in a centralized database. The software is totally reduced to redundant of customer information and service information. The service centre software helps organization to maintain the customer information securely. In short, this application is the solution for an entire life cycle of service management. |
| Title | Cryptography Using Color Substitution |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The emerging threats to information security are increasing at an alarming rate. The most influential and universal approach to counter such threats is encryption. Traditional encryption techniques use substitution and transposition. Substitution techniques map plaintext into ciphertext. In all traditional substitution techniques, characters, numbers and special symbols are substituted with other characters, numbers and special symbols. In this project, an innovative cryptographic substitution method is proposed to generate a stronger cipher than the existing substitution algorithms. This method emphasizes on the substitution of characters, numbers and special symbols with color blocks. This algorithm of substitution is based on Play Color Cipher. The cryptanalysis done on this will prove that the cipher is strong. |
| Title | File Transfer Through SMS |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | In the last few years, SMS (Short Message Service) has made a big impact on the way we communicate. Instead of communicating over the phone using voice, people rather prefer SMS not only for messaging but also for information exchange. This project proposes a method of building an extendable generic application which can be used to search a file on remote desktop and mail it to user. Mobile users send required information through a SMS to a mobile gateway that forwards it to the generic application. Given the user-provided information, the generic application automatically searches the file on remote machine and mails it to the user. This project is based on the concept of searching a file on remote machine by just sending a simple SMS. The purpose of the project is to search a file on remote machine by just sending a simple SMS and get that file mail it to user if found. The application will be kind of desktop application where it will check for new incoming SMS. The application will first check whether the mobile number through which SMS has been sent is authorized to search the file or not. If not application will send back an acknowledgement saying that user is not authorized to search the file. If the user is authorized, than application will start the file search and if the file is found it will mail it user on the emailed that is received in SMS. While sending SMS user has to send the option, file name, file path (optional) and email id. |
| Title | Sentiment Analysis for Twitter |
| Guide Name | Prof. Neha Jain |
| Group Members |
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| Abstract | With the rise of social networking epoch, there has been a surge of user generated content. Micro blogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time micro blogging service, Twitter, where users post real time reactions to and opinions about “everything”. In this paper, we expound a hybrid approach using both corpus based and dictionary based methods to determine the semantic orientation of the opinion words in tweets. A case study is presented to illustrate the use and effectiveness of the proposed system. |
| Title | LI-FI (Light Fidelity) |
| Guide Name | Prof. Vinayak D. Shinde |
| Group Members |
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| Abstract | Whether you are using wireless internet in a coffee shop, stealing from the guy next door, or competing for bandwidth in a conference, you have probably gotten frustrated at the slow speeds you face when more than one device is tapped into the network. As more and more people and their many device access wireless internet, clogged airwaves are going to make it. One German physics Harald Hass has come up with a solution he calls “data through illumination” – taking the fiber out of fiber optic by sending data through an LED light bulb that varies in intensity faster than human eye can follow. IT’s the same idea behind infrared remote controls but far more powerful. Hass says his invention, which he calls DLIGHT, can produce data rates faster than 10 megabits per seconds, which is speedier than your average broadband connection. He envisions a future where data for laptops, smart phones, and tables is transmitted through the light in a room. And security would be snap – if you can’t see the light, you can’t access the data. |
| Title | Private Cloud |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | Private cloud is basically an Internet based network made up for large numbers of servers- mostly based on open standards, modular and inexpensive. Cloud contain vast amount of information and provide a variety of services to large number of peoples. The benefit of cloud computing are Reduced Data Leakage, Decrease evidence acquisition time, they eliminate or reduce service downtime, they Forensic readiness, they decrease evidence transfer time. The main factor to be discussed is security of cloud computing, which is a risk factor involved in major computing fields. This is a very important concept which have a very bright future as a technology as well as future aspects for students. |
| Title | Management Information System for College |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | MANAGEMENT INFORMATION SYSTEM deals with the maintenance of college, faculty and students information within the colleges. MIS is an automation system, which is used to store the college, faculty, students, courses, and information of a college. Starting from registration of a new student in the college, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTERNET based campus wide portal. It collects related information from all the departments of an organization and maintain files, which are used to generate reports in various forms to measure individual and overall performance of the students.The privilege for each user is fixed. The modules are Admin, Teacher, Lab Assistant and students. THE admin is able to view all other modules. |
| Title | SCALA- THE NEW AGE PROGRAMMING LANGUAGE |
| Guide Name | Prof. Anil Chaturvedi |
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| Abstract | Scala is an object-functional programming and scripting language for general software plications. Statically typed, designed to concisely express solutions in an elegant, type-safe and lightweight Vow ceremonial) manner. Scala has full support for functional programming including currying, pattern matching, algebraic data types, lazy evaluation, tail recursion, immutability, etc.). It cleans up what are often considered poor design decisions in Java (such type erasure, checked exceptions, the non-unified type system) and adds a number of other matures designed to allow cleaner, more concise and more expressive code to be written. Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You n play with it by typing one-line expressions and observing the results. But you can also lay on it for large mission critical systems, as many companies, including Twitter, LinkedIn, and Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony, its types get out of the way because the compiler can infer them. There’s a REPL IDE worksheets for quick feedback. Developers like it so much that Scala won the criptBowl contest at the 2012 Java One conference. Scala is designed to interact well with mainstream platforms such as Java or C#. It shares with these languages most of the basic operators, data peps, and control structures. For simplicity, we compare Scala in the following only it Java. But since Java and C# have themselves much in common, almost all similarities with Java carry over to C#. Sometimes, Scala is even closer to C# than to Java, For instance in its treatment of genericity. Listing 1 shows a simple program in Java and Scala. The program prints out all options included in the program’s command line. The example shows many similarities. Both languages use the same primitive class String, calling the same methods. They also use the same operators and the same conditional control construct. The example also shows some trances between the two languages. |
| Title | Cloud Based Email Server |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Mail Severs are an important necessity for every small, middle and large enterprise, needs its needs its mails to secure and attached with its domain name. So most of the enterprises follow the trend of having and mail exchange server hosted in companies host network. This set of configurations needs a dedicated set of mail server and group of people to monitor, manage the troubleshoot it. All this activities has extra overhead of machine cost and IT and network engineer’s salary which in a big enterprise goes as high as 30-50 Lacks annually. This project eases the problem of creating, managing, monitoring and troubleshooting the exchange mail servers by provided web based solutions on cloud for mail, keeping mails secure and accessible on desktop and mobile phones with support to SMTP, POP and IMAP protocols. This project aims to replace dedicated email servers with all the benefits of cloud. |
| Title | Communicator |
| Guide Name | Prof. Pravin Jagid |
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| Abstract | Our project. “COMMUNICATOR” aims at providing different means of communication and a facility of transferrin2 files between the clients in the network through an intermediary server. This project is mainly divides into four modules of communication. The project contains: A Chat application which is capable of sending_ messages to other clients on the same network. A File Transfer application which is able to send tiles to other clients on the same network. It also contains an error detection and recovery mechanism which searches for errors which may occur while sending, the file and if any error occurs then the file is retransmitted .A Voice chat application which will allow users on the same network to have a voice chat. The voice of the sender is transmitted to the receiver within a delay of 1000ms.A Video chat application which will allow users on the same network to have a Video chat using webcam. This project will mostly be used where there is a need of client to client communication inside a network. This project does not contain any use of Internet. |
| Title | HEALTH CARE |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | A special topic conference focused on point-of-care technologies for global healthcare issues is proposed. The proposed conference will bring research presentations and technology discussion forums on recent technological advances and global issues on implementation of technologies. Though the challenges of providing healthcare in developing cities. There is a common goal to provide access to health monitoring and assessment technologies to people with limited healthcare facilities. While the developed city may find technologies as effective means for reduce-healthcare by online websites and improving efficiency of technologies by search the best hospitals nearby areas for all the details. The user has to login the website and get information. It also has the process to take the appointment with doctors, specialist and by using online messaging appointments and cancelling. The basic challenge of providing for healthcare to all people. |
| Title | Employee Beat Plan Tracker |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | In this project, we have Proposed a system which deals with beat plan tracking. Beat is all sorts of credentials with the sales executive. Plan tracking consists of employee and inventory tracking. Inventory is the collection of Subscriber Identity Module (SIM) cards and recharges with the sales executive. This application provides the solution to overcome the famous D-1, D-2 (Day minus one, day minus two problem along with many other attractive and useful features like employee tracking, inventory management, sales reporting and many more on the world’s most popular mobile operating system i.e. Android. Employee tracking is the feature by which the employees or better known as Field sales executives are tracked by their location. Inventory management deals with keeping the trace of number of SIM or the amount of recharge with the executives as well as the retailers. It will also help in replacing the traditional way of reporting with the on the go reporting style, thus reducing the overhead of paper work. This proposed system’s Graphical User Interface (GUI) is built in XML using Android operating system and it is implemented using Java language. |
| Title | Web Enabled Society Maintenance System |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | This project revolves around management and operations or a residential society or a complex. We want to develop a system that will be a one stop portal for the entire residence owner, tenants, and also the management office, the aim is to make this product easy to use as well as fun. Considering that to till this date majority of the society operation like maintenance bill, records of owner, tenants and shops and as well the dashboard event are carried out manually there is a high need for an automated system that can reduce the paper work and also avoid the problems in maintaining the society. Normally where a secretary has to do labor of responding to the residents about various problems and news, he even has to make sure every person has received its bill and is also make them aware about the on-going activities in the society, it not only hard work but also at times not every owner or tenant is available and someone gets missed out from the news. This all can be avoided if we have a system where a person can access it according to his own sweet time and if any queries can also post it to the manager/secretary. Considering every single person in this world is using a smart phone or a computer and they prefer getting their news from the internet with the help of our idea that is fresh and new, a change can be brought in the way we handle and communicate with our society members and various activities. Our concept of having an web portal system for society maintenance will not only make paying bills and keeping a tab on the notices much easier but also will help us to connect to our residential complex and the people we live among. It will be much more accessible from any part of the world. Multitasking is the ultimate mantra of our hectic busy life and with the help of this system we are just making step towards an easier life and also keeping it simple. |
| Title | Unique Availater |
| Guide Name | Prof.RadhaChawre |
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| Abstract | Introduction of Smart phones redefined the usage of mobile phones in the communication world. Smart phones are equipped with various sophisticated features such as Wi-Fi, (WS navigation, high resolution camera, touch screen with broadband access which helps the mobile phone users to keep in touch with the modern world. Google came up with an innovative operation system termed as ANDROID. As day to day increase in android usage and along with internet usage on cell phones to be in touch with world. This gave us an opportunity to take a step forward to develop something for user to easily find out everything using the application. Then we will start developing the application named as Unique aviator. `Unique Aviator ‘ application will be developed for Google’s Android Mobile Platform. The application is basically divided into two categories One in which, application uses a GPS to track the location information of the user and through that it will easily find out the or place which they want it to be. So they get the resultant place easily. Second in which we provide off line facilitate also. Sometime user does not have an internet connection or out of coverage area but still it works. Because we also gave them facility to search without necessarily need of internet. This application will be written in Java Programming which runs on Eclipse Integrated Development Kit and android SDK, and the database in coded in SQLite . |
| Title | Handwritten Recognition |
| Guide Name | Prof. Deepali Patil |
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| Abstract | Handwriting Recognition enables a person to scribble something on a piece of paper and then convert it into text. If we look into the practical reality there are enumerable styles in which a character may be written. These styles can be self-combined to generate more styles. Even if a small child knows the basic styles a character can be written, he would be able to recognize characters written in styles intermediate between them or formed by their mixture. This motivates the use of Genetic Algorithm or Back Propagation Algorithm for the problem. In order to prove this, a pool of images of characters were made which were converted to graphs. The graph of every character was intermixed to generate styles intermediate between the styles of parent character. Character recognition involved the matching of the graph generated from the unknown character image with the graphs generated by mixing. This method gives better accuracy to recognize any handwritten character. Handwriting recognition refers to the identification of written characters. The problem can be viewed as a classification problem where we need to identify the most appropriate character the given figure matches to. Offline character recognition refers to the recognition technique where the final figure is given to us. We have no idea of how the writer wrote the letter. This is contrary to the online character recognition systems where the data can be sampled while the character is being written. |
| Title | Congestion Control |
| Guide Name | Pro. RadhaChawre |
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| Abstract | Congestion in cellular networks during peak hours and at hot spots is a major problem being faced today almost everywhere especially in metro cities. Even though capacity increase seems to be a natural solution to this problem, it is not economically viable due to heavy infrastructure costs involved. As the traffic demand is continuously increasing the problem of congestion is going to remain forever and therefore needs to be effectively addressed. Proposed scheme tries to address the problem of congestion in cellular networks by introducing a new concept of call duration control coupled with dynamic pricing and call-on-hold principle. Long duration calls in the network is one of the major reasons for congestion in the network. We propose to restrict the duration of such calls depending upon traffic conditions. At heavy traffic conditions the network restricts the duration of on-going calls up to a specific time beyond which the user has to pay at a higher tariff. At the same time a principle of call-on-hold is also implemented so that if a newly generated call does not get a traffic channel then it is not blocked but is put on hold in a queue hoping to get a channel soon. Our scheme reduces the level of congestion substantially without any compromise with system utilization and at the same time it also marginally increases the revenue per unit time |
| Title | M-Suburban Train Ticket System |
| Guide Name | Pro. Vinayak D. Shinde |
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| Abstract | The passenger flow in the western division of Mumbai Suburban Railway system is multiplying day by day. The existing ticketing system is causing a considerable increase in the travel time due to a major drawback- long queues”, which absorbs a significant portion of the travelling time. On an average, a commuter spends around 15 minutes in the queue at the suburban booking office windows of Mumbai. In this study we aim to explain the use of mobile services by looking at an area where it has been quite successful; that is mobile ticketing in public transportation. Firstly, this paper provides a brief glance at ATVM (Automatic Ticket Vending Machines) and (CVM) Coupon Validating Machines-, technologies which are already implemented in the Mumbai Suburban Railways, along with a statistical insight of its drawbacks. Later it provides an insight into our proposed technology MSTTS (M-Suburban Train Ticket System) which uses SMS (Short Messaging Service) as a medium to issue tickets. We provide a comprehensive description of our proposed architecture models along with the possible hurdles in our endeavor, and also real time solutions to it. The scope of this paper is particularly for the -Mumbai Suburban Railways” (MSR) where cost effectiveness is of paramount importance. The challenge was to design a system that would be least costly, as MSR is massively used by middle class people who cannot afford even the slightest of increase in the ticket price. Hence something beyond NFC (Near Field Communication) and Automated Fare Collection (AFC) system (through contactless smart card technology) was needed. The concept and implementation of MSTTS put forth by us is completely “new and original”. |
| Title | Intelligent Tracking System |
| Guide Name | Pro. Ritu Shukla |
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| Abstract | Technologies Used: PHP, MYSQL, AJAX, JQuery, JavaScript, HTML, CSS This project will be designed to provide and track real time data of the customer who will be accessing an ecommerce website to the Salesand Marketing Team. This project will be using built in PHP function to track the IP and feeding the same to a location tracking API (Application Programming Interface) to detect the user’s location including as his City, State and Country along with his local time zone and country code. This project will also provide a real time notification system, which will be achieved by querying the database in real time. The main aim of this project is to help the sales and marketing to generate leads real time. As the customer is browsing a website and once he submits the form which can be placed on the header section of the website so as to intelligently track the user information such as the product the user was viewing while submitting the form. This will enable the sales team to get the detailed information of the user along with the product he was interested in thereby helping the sales team to make an informed decision which will lead to exponential increase in sales and better customer satisfaction. |
| Title | Security Enhancement Using Motion Detection |
| Guide Name | Pro. Deepali Patil |
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| Abstract | In today’s competitive environment security concerns have grown tremendously. In the modern world possession is known to be 9/10THs of the law. Hence, it is imperative for one to be able to safeguard one’s property from worldly harms such as thefts, destruction of property, people with malicious intent etc.
Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication it is now possible to monitor and control the environment to the advantage of the owners of the property.
The latest technologies used in the fight against thefts and destruction are video surveillance and monitoring. By using these technologies it is possible to monitor and capture every inch and second of the area in interest. However so far the technologies used are passive in nature. i.e. the monitoring systems only help in detecting the crime but do not actively participate in stopping the crime while it takes place.
Therefore, the project to detect motion in video stream is an idea to ensure that the monitoring systems not only actively participate in stopping the crime but do so while the crime is taking place. Hence we are developing this system to:
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| Title | Feel Secured |
| Guide Name | Prof.Vinayak D. Shinde |
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| Abstract | Introduction of Smart phones redefined the usage of mobile phones in the communication world. Smart phones are equipped with various sophisticated features such as Wi-Fi, GPS navigation, high resolution camera, touch screen with broadband access which helps the mobile phone users to keep in touch with the modern world. Google came up with an innovative operation system termed as ANDROID. As day to day increase in android, fee and along with internet usage on cell phones to be in touch with world. This gave an opportunity to take a step forward to develop something on women safety and ‘Feel Secured’application will be developed for Google’s Android Mobile Platform. The application is basically divided into two categories One in which, application uses a GPS to track the location information of the women (user) and send those location information to her guardian/parents which will be updated accordingly. Second in which security threat can occur anywhere, the application also answers for personal safety, when the user interacts with the application by pressing the button, then automatically the application generates the geographical information and sends that location information via SMS to a pre-stored emergency contact. This application will be written in Java Programming which runs on Eclipse Integrated Development Kit and android SDK, and the server required will be written in .NET. |
| Title | Implementation of 3D modeling and Artificial Intelligence in Game Development |
| Guide Name | Prof.Ritu Shukla |
| Group Members | 1.Nikhil Latkar[22] 2.Salil Sharma[57] 3.Suraj Tripathi[68] 4.Anshul Verma[69] |
| Abstract | The project is designed to learn application of scripting languages to develop and create a visually stimulating first-person shooter video games. This project will be using built in libraries and scripts created using scripting languages. JavaScript and C#. This project will also provide’ real-time application of artificial intelligence in a virtually simulated video game environment.This project is made with the help of integrated development environment stimulating software Unity 3D engine. Unity is a game development ecosystem: a powerful rendering engine fully integrated with a complete set of intuitive tool and rapid workflows to ante interactive 3D and 2D content. The modelling of the characters, environment’, and objects in the game is implemented with the help of Autodesk Maya 2014. Autodesk Maya is a 3D animation, modelling, simulation; rendering and compositing offer a comprehensive creative feature set for 3D computer animation, modelling, and simulation and rafting on a highly extensible production platform. Maya provides high-end character and effects toolsets along with increased productivity fine modelling, texturing and shader creation task. |
| Title | Pattern Discovery Using Associative Rule |
| Guide Name | Prof.Vinayak D. Shinde |
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| Abstract | Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification. association rule mining, clustering, etc.. Data mining is a complex topic and has links with multiple core fields such as computer science and adds value to rich seminal computational techniques from statistics, information retrieval, machine learning and pattern recognition. Data mining techniques are the result of a long process of research and product development. This evolution began when business data was first stored on computers. continued with improvements in data access, and more recently, generated technologies that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery. Data mining is ready for application in the business community |
| Title | A new approach of data mining and warehousing for comprehensive web based project management software |
| Guide Name | Prof. Anil Chaturvedi |
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| Abstract | The project Management Software will be used to collect the information from the different levels of software development and different people involved in the project and product development. It provides Status and Reports of different levels of project and product of entire day, week and month. It will maintain the details of the client and the developer interaction as all the documentation work will be done by both the client project and the software development team who are working on the client project and product .The client who is giving the project and product to be developed to the company can view the documentation that is prepared .PMS provides a collaborative suite for mining, the data for different people involved in the PMS, from the PMS warehouse where the data is stored. Keywords— Data mining ,Data warehousing , PMS. |
| Title | Network Security and Attack |
| Guide Name | Prof.GayatriDantal |
| Group Members | 1.Shah Hareram M. Jawahar[45] |
| Abstract | Network security has become more important to personal computer users, organizations, and the military. With the advent of the internet, security became a major concern and the history of security allows a better understanding of the emergence of security technology. The Internet structure itself allowed for many security threats to occur. The architecture of the internet, when modified can reduce the possible attacks that can be sent across the network. Knowing the attack methods, allows for the appropriate security to emerge. Many businesses secure themselves from the Internet by means of firewalls and encryption mechanisms. The businesses create an “Intranet” to remain connected to the interplay but secured from possible threats. The entire field of network security is vast and in an evolutionary stage. The range of study encompasses a brief history dating back to internet’s beginnings and the current development in network security. In order to understand the research being performed today, background knowledge of the internet, its vulnerabilities, attack methods through the internet, and security technology is important and therefore they are reviewed. |
| Title | Gesture Recognition |
| Guide Name | Prof.Anil Chaturvedi |
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| Abstract | In the present world, the interaction with the computing devices has advanced to such an extent that as humans it has become necessity and we cannot live without it. The technology has become so embedded into our daily lives that we use it to work, shop. Communicate and even entertain our self. It has been widely believed that the computing, communication and display technologies progress further, but the existing techniques may become a bottleneck in the effective utilization of the available information flow. To efficiently use them, most computer applications require more and more interaction. For that reason, human-computer interaction (HCI) has been a lively field of research in the last few years. Firstly based in the past on punched cards, reserved to experts, the interaction has evolved to the graphical interface paradigm. The interaction consists of the direct manipulation of graphic objects such as icons and windows using a pointing device. Even if the invention of keyboard and mouse is a great progress, there are still situations in which these devices are incompatible for HCI. This is particularly the case for the interaction with 3D objects. The 2 degrees of freedom (DOFs) of the mouse cannot properly emulate the 3 dimensions of space. |
| Title | Web Based Application Programming Computer |
| Guide Name | Prof.RadhaChawre |
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| Abstract | Web-based computing is a model that provides computation, warfare, data awe and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the service, Parallel to this cc incept can be drawn with the electricity grid, wherein end-users consume pitcher without needing to understand the component devices or infrastructure required to provide the ‘-mice. The paper aims to describe centralized compiler which helps to reduce the problems of time. Cost and storage space by making use of the concept of Web-based computing. Also, the trouble of installing the compiler on each computer is avoided. In this paper Code Dom (Code Document Object Model) Technology is used to generate Centralized C# Compiler. The Code Dom allows program to be dynamically created, compiled. and executed at runtime. The Code Dom provides a language independent object model for representing the structure of source code in memory. The System, Code Dom Namespace contains number of classes, interfaces and enumerations. |
| Title | Application Of Association Rule Mining Algorithm |
| Guide Name | Prof.DeepaliPatil |
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| Abstract | Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specialized implementation since the prohibitive nature of the cost associated with extracting knowledge, as well as the lack of suitable declarative query language support. Frequent pattern mining is a foundation of several essential data mining tasks. These facts motivated us to develop original SQL-based approaches for mining frequent patterns. Association rules mining are one of the major techniques of data mining and it is perhaps the most common form of local-pattern discovery in unsupervised learning systems. The technique is likely to be very practical in applications which use the similarity in customer buying behavior in order to make peer recommendations. Association Rules will permit you to discover rules of the kind If X then (likely) Y where X and Y can be particular items, values, words, etc. , or conjunctions of values, items, words, etc. |
| Title | Recognition and risk factors of Anemia along with classifiers |
| Guide Name | Prof.RadhaChawre |
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| Abstract | Health problem is the leading cause of death all over the globe. Today in this ever growing technological world, data analysis is essential in healthcare environment. There is gigantic amount of data available within the healthcare environment. In Healthcare system, it becomes very important to develop an automated tool that is capable of identifying relevant healthcare information. This work focuses on retrieval of updated, accurate and relevant information from Medline datasets using Machine learning approach. Recently, researchers have been investigating the effect of hybridizing more than one technique showing enhanced results in the diagnosis of diseases. However, there is a scarcity of effective analysis tools to discover hidden relationships and trends in data. Therefore, Data Mining should be applied on the healthcare environment’s datasets to extract hidden information. This paper analyzes the prediction of survivability rate of health problem patients using data mining techniques. The analysis had been carried out using various classification algorithms such as ID3 and Rule Induction on the datasets and decision tree for the same has been prepared. In this paper, the various anemic issues had been investigated using data mining techniques. |
| Title | JAVA Remote Application Launch Using JNLP |
| Guide Name | Prof. Reena Ostwal |
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| Abstract | Remote application launching is a phenomenal feature for large scale network where number of node already exists and scalable in nature. The application installation, version control is very difficult to manage in large organizational set up. Considering this problem we proposed the novel approach to use remote application launch using JNLP. J.N.L.P Java Network Launching Protocol provides effective way to launch various applications from web application The interaction of the user with the web is based on the client-server architecture. Consider a situation where an administrator wants to install multiple software’s on every client machines situated in any business enterprise or organization. This approach imposes cognitive load on administrator when he has to visit each system for the installation of software’s and applications. The focus of this project is to develop a common web application where each user visits on its own distributed system and can use the application as per the needs. In this way the user can get rid of installing each software manually on individual system. The proposed system java based web application using JSP (Java Server pages) technology with glassfish server with JNLP protocol provides complete central processing for all software as .-,entice. The main feature of the application to provide various software services to the client user as and when required in the secure environment. The administrator can manage various applications from server. Co> the benefit of the system we thought why not to implement the system for engineering colleges where this task is very difficult to manage in the current scenario. As a part of B.E project we will try to implement the idea for engineering colleges and for the particular enterprise as well. |
| Title | Training and Placement Cell |
| Guide Name | Prof.Namrata Modi |
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| Abstract | Training And Placement Cell is a web based application developed in the windows platform for the training and placement department of the college in order to provide the details of its students in a database for the companies to their process of recruitment provided with a proper login. The Training and Placement Cell contains all the information about the students. The system stores all the personal information of the students, like their personal details, their aggregate marks, their skill set and their technical skills that are required in the CV to be sent to a company. The system is an online application that can be accessed throughout the organization and outside as well with proper login provided. This system can be used as an application for the tpo of the college to manage the student information with regards to placement. This project contains all the details of the students that can be viewed by all the users but can be modified only by the student with an authorized service. |
| Title | Biometric Authentication System Using Human Ear |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | The main aim of the project is to develop a biometric authentication system using the ear. The ear biometric base recognition system is divided into five main parts – image acquisition, preprocessing, and feature extraction, extraction of feature vector and classificationand comparison. The image will be acquired using a digital camera. The photo is then processed, stored and used for the identification process. For every individual, there are some distinct features that can be used for identification. The portion or segment that contains these unique features is known as the Region of Interest. After the raw data is obtained, the Region of Interest (ROI) which is the area containing the ear image is chosen. The final stage involves comparison with the database and then the decision is taken on the basis of the result. |
| Group ID: | AY23BECSP70112 |
| Title: | Post-Quantum Encrypted Communication in Air-gapped Systems. |
| Guide Name: | Mr. Rajesh Gaikawad, Assistant Professor, CS, SLRTCE |
| Group members: | Bhosale Suyash Dhanaji (Roll No.: 03) |
| Dwivedi Dhritee SubhashChand (Roll No.: 07) | |
| Manasia Sahal Saeed (Roll No.: 30) | |
| Singh Riya Rakesh (Roll No.: 59) | |
| Abstract: | In a rapidly evolving digital landscape, safeguarding sensitive information within air-gapped systems is of paramount importance. The "Post-Quantum Encrypted Communication in Air-Gapped Systems" project stands as a beacon of innovation and security. Its primary mission is to enhance the security of isolated computing environments while ensuring compatibility with legacy systems and tailored solutions for specific use cases. Key Objectives: Quantum-Proof Encryption: As the era of quantum computing looms, the project aims to develop encryption techniques that can withstand the formidable challenges posed by quantum threats. By employing cutting-edge cryptographic methods, it seeks to create an impenetrable fortress for your data. Compatibility and Legacy Support: The project understands the importance of maintaining seamless communication between older systems and the new-age encrypted ones. It guarantees backward compatibility, ensuring a smooth transition while fortifying your defense. Long-Term Resilience: Quantum threats may evolve, but your defenses should remain steadfast. This project is committed to providing long-term resilience, safeguarding your sensitive data against the ever-changing digital landscape. Customized Solutions: Every air-gapped system is unique, with its own set of requirements. This project offers tailored encryption solutions to meet your specific needs. Whether you're in healthcare, finance, or government, our solutions are adaptable to your environment. User-Friendly Encryption: Security should not come at the cost of complexity. The project is dedicated to providing easy-to-use encryption solutions, ensuring that even non-technical users can benefit from heightened security measures. With "Post-Quantum Encrypted Communication in Air-Gapped Systems," you can rest assured that your sensitive information and activities are shielded from the ever-evolving quantum threats of the digital age. Strengthen your digital defenses and ensure the security of your data with a project that puts your peace of mind at the forefront. Don't leave your data vulnerable to the uncertainties of the future. Embrace the future of security with our cutting-edge project, where your digital protection is our top priority. |
| Group ID: | AY23BECSP70114 |
| Title: | Propcrypt- A Secure Property Registry |
| Guide Name: | Mr. Rajesh Gaikawad, Assistant Professor, CS, SLRTCE |
| Group members: | Hrushikesh Patil (Roll No.: 43) |
| Durgesh Vishwakarma (Roll No.: 65) | |
| Tarun Paney (Roll No.: 41) | |
| Abstract: | Land registration, a cornerstone of property rights, plays a pivotal role in securing ownership and promoting economic development. However, the existing land registration system is plagued with complexities, intermediaries, paper-based documentation, and exorbitant transaction costs. This inefficiency opens the door to fraud, corruption, and disputes, jeopardizing property rights, economic growth, and the well-being of vulnerable groups. To address these issues, a secure, transparent, and efficient land registration system is imperative, and blockchain technology emerges as the game-changer. The Need for Change: Fraud Prevention: The current system is susceptible to fraud, where unscrupulous individuals can manipulate paper records. Blockchain's tamper-proof nature ensures the integrity of data, virtually eliminating the risk of fraudulent activities. Transparency: Blockchain's decentralized ledger provides transparency at every stage of land registration. All stakeholders can access real-time, immutable records, reducing opacity and ensuring accountability. Efficiency: Eliminating intermediaries and streamlining the process, blockchain significantly reduces transaction costs. Smart contracts can automate procedures, simplifying the transfer of property ownership. Dispute Resolution: With an unchangeable record of property history, disputes over ownership are mitigated. Blockchain's transparency and history tracking prevent conflicts from arising in the first place. Sustainable Land Management: Blockchain promotes responsible land management by recording essential data related to land use, zoning, and environmental considerations. This data is vital for sustainable development. Blockchain Technology: A Game-Changer: Blockchain technology is the catalyst for a more secure, transparent, and efficient land registration system. Its attributes include: Decentralization: Removing the need for a central authority, blockchain operates on a distributed network, preventing single points of failure. Immutability: Once data is recorded, it cannot be altered or deleted, ensuring the integrity of property records. Transparency: All stakeholders can access and verify land records, promoting trust and accountability. Smart Contracts: Automate and expedite property transactions, reducing bureaucratic hurdles. Fraud Resistance: Blockchain's cryptographic security safeguards against fraudulent activities. Accessibility: Enables access to land records for all, including vulnerable groups, thus securing their property rights. In conclusion, a blockchain-based land registration system holds the promise of transforming an outdated, inefficient, and corrupt-prone process into a secure, transparent, and efficient one. By preventing fraud, reducing disputes, and promoting sustainable land management, this technological advancement can pave the way for equitable property rights and foster economic growth. Embrace the future of land registration with blockchain - the key to a secure and prosperous future. |
| Group ID: | AY23BECSP70116 |
| Title: | Health Care System |
| Guide Name: | Mr. Rajesh Gaikawad, Assistant Professor, CS, SLRTCE |
| Group members: | Arshaan Shaikh (Roll No.: 52) |
| Utkarsh Rai (Roll No.: 47) | |
| Yogesh Mishra (Roll No.: 33) | |
| Etty Tiwari (Roll No.: 62) | |
| Abstract: | In the realm of healthcare, the early detection of heart disease is paramount. Our groundbreaking project is dedicated to creating a state-of-the-art Heart Disease Prediction System, harnessing cutting-edge data mining and machine learning techniques. At the core of our initiative is the mission to enhance medical care, reduce healthcare costs, and, most importantly, save lives through accurate predictions. Key Objectives: Heart Disease Prediction System: Our project's central pillar is the creation of a sophisticated Heart Disease Prediction System. This system utilizes advanced data mining and machine learning algorithms to analyze scanned lab reports, provided by users through OCR technology, to accurately predict heart disease. User-Friendly Chatbot: In addition to the prediction system, we are developing a user-friendly chatbot that empowers users with information and resolves their queries. This chatbot will serve as a valuable resource for individuals seeking guidance and information about heart health. Preventing Heart Disease Deaths: The ultimate goal of our project is to save lives by preventing deaths caused by heart disease. By enabling early detection through our prediction system, we can initiate timely interventions, preventive measures, and treatment plans, reducing the severity of heart diseases and their potential complications. Project Impact: Enhancing Medical Care: Our technology empowers healthcare professionals with accurate predictive tools, enabling them to make informed decisions and provide early intervention for patients at risk of heart disease. Reducing Healthcare Costs: By preventing complications through early detection, we aim to reduce the financial burden on both individuals and healthcare systems, making heart health more affordable. Saving Lives: Early detection is the key to saving lives. By providing individuals with the means to detect heart diseases in their early stages, we aim to significantly improve health outcomes and reduce mortality rates. Conclusion: Our project stands at the forefront of healthcare innovation, merging data mining and AI to create a Heart Disease Prediction System with the potential to save countless lives. We are committed to early detection, improved medical care, cost reduction, and ultimately, a healthier, heart-healthy world. Embrace the future of healthcare with our cutting-edge project and be part of a mission to protect your heart and your loved ones. Your health is our priority. |
| Group ID: | AY23BECSP70106 |
| Title: | Oneworldgiving:uniting NGO's and donors for a better world |
| Guide Name: | Mrs Uma Goradiya |
| Group members: | TIWARI SATYAM RAKESH INDRAKALA |
| PANDEY SHREYA SUNIL ANJU | |
| KENI SIDDHI BHUSHAN RUPALI | |
| YADAV AYUSH ANILKUMAR VITOLADEVI | |
| Abstract: | In an increasingly interconnected world, addressing the widening gap between affluence and scarcity requires collective action towards humanitarian causes. "OneWorldGiving" is a groundbreaking mobile application that serves as a vital bridge between non-governmental organizations (NGOs) and donors, fostering a collaborative ecosystem for sharing and donating essential resources like food, clothing, and stationary. Powered by the versatile Flutter technology, this app is engineered for seamless, user-friendly interactions and transactions. Key Objectives: Revolutionizing Philanthropy: The primary goal of OneWorldGiving is to revolutionize the philanthropic landscape. It provides a centralized platform where NGOs can connect with donors, work together, and make a lasting impact on humanitarian causes. NGO Empowerment: NGOs can create profiles within the application, showcasing their missions, projects, and immediate needs. This not only raises awareness about their initiatives but also facilitates collaboration with donors. Informed Giving: Donors gain easy access to a curated list of NGOs and their respective initiatives. This empowers them to make well-informed decisions about their contributions, ensuring their resources are directed to the causes they care about most. A More Inclusive World: OneWorldGiving is more than just an app; it's a vision of a more inclusive and connected world. It envisions a seamless collaboration between NGOs and donors, working in unison to address pressing humanitarian needs. By harnessing the power of Flutter technology, this application sets a new standard for efficiency, accessibility, and transparency in the realm of philanthropy. Benefits of OneWorldGiving: Efficiency: The app streamlines the donation process, making it more efficient and convenient for both NGOs and donors. Accessibility: Anyone with a smartphone can become a part of the global humanitarian effort, breaking down barriers to giving. Transparency: OneWorldGiving promotes transparency, ensuring that donations go directly to the causes they are intended for. Conclusion: Through OneWorldGiving, we are taking a significant step towards a more connected and compassionate world. NGOs and donors can now collaborate seamlessly to address pressing humanitarian needs. This mobile app redefines the way we approach philanthropy, setting the stage for a future where acts of kindness and generosity create a positive impact on a global scale. Join us in making the world a better place, one donation at a time. Your generosity can truly change lives. |
| Group ID: | AY23BECSP70108 |
| Title: | Sakhii - An Ultimate all in one Women Safety App |
| Guide Name: | Mrs Uma Goradiya |
| Group members: | PANDEY NAMAN RAMPRAKASH SUSHMA |
| KHAN MANTASHA ARIF RUBINA PARVEEN | |
| PAWAR MANDAR BHAGWAN SWAPNA | |
| Abstract: | "Sakhii" is an innovative women's safety app developed to address the pressing concern of women's safety in regions like India. Emphasizing trust and accessibility, it offers real-time location sharing, SOS alerts to police and guardians, a voice-activated panic feature activated by a scream, and a "shake to alert" mechanism for emergencies. One of its most notable features is regular location updates to the nearest police station, ensuring swift support. Designed for easy navigation, the app offers bilingual support (Hindi and English) and is available on both mobile and desktop. By collaborating with law enforcement and promoting community sharing of experiences, Sakhii stands as a significant step towards enhancing women's safety in India. |
| Group ID: | AY23BECSP70109 |
| Title: | Using BI Visualization to Track Progress in Latin - American Countries for the Latin American Government |
| Guide Name: | Mrs Uma Goradiya |
| Group members: | GL- Saurabh Dubey |
| M1- Ajay Nishad | |
| M2-Amey Pathare | |
| M4- Priyanshu Shukla | |
| Abstract: | This paper delves deep into the conception and implementation of a specialized Business Intelligence (BI) dashboard, crafted to empower decision-makers and stakeholders engaged in the pursuit of Sustainable Development Goals (SDGs) across Latin America and the Caribbean (LAC). Rooted in Cepei's decade-long experience in the Voluntary National Review (VNR) process, this project places a strong emphasis on delivering data-driven insights to influence sustainable development policies. The SDGVQT Initiative: At the heart of this endeavor is the "Sustainable Development Goals Voluntary National Review Quality Tracker" (SDGVQT), a pioneering initiative. This innovative tracker provides customizable access to vital VNR information and expert analysis, enabling comprehensive reporting on the 2030 Agenda. Project Scope: This project represents the culmination of a descriptive research journey, encompassing the past, present, and future of political governance and the application of business analytics in shaping effective marketing strategies. Leveraging data sources, tabular models, and the DAX query language through a Power BI dashboard, it demonstrates how government development data can be harnessed. Key Features: Data Cleaning with SQL: The project highlights the significance of data quality through SQL queries, ensuring that information is reliable and accurate. SSAS Integration: It showcases the connection of Power BI to SQL Server Analysis Services (SSAS), enabling robust data analysis and visualization. DAX Query Language: The project demonstrates the power of DAX query language in deriving insights and transforming data into actionable information. Performance and User Engagement: The paper provides insights into the performance of the Power BI dashboard and its presentation to end-users. It showcases the role of data analytics in making informed decisions and shaping policies that drive sustainable development. Conclusion: Cepei's BI initiative, spearheaded by the SDGVQT dashboard, underscores the pivotal role of data analytics and business intelligence in achieving the SDGs in Latin America and the Caribbean. By providing decision-makers with powerful tools and evidence-based insights, this project offers a roadmap for sustainable development and a brighter future. It is a testament to the potential of data-driven governance and strategic policy shaping, and it lays the foundation for an informed and sustainable LAC region. |
| Group ID: | AY23BECSP70101 |
| Title: | Pulseplay: AI-Powered Audio Streaming Platform |
| Guide Name: | Mrs Aabha Patil |
| Group members: | JHA YASH |
| MISHRA DEEPAK LALIT | |
| Abstract: | In the dynamic realm of digital entertainment, Pulseplay is a pioneering solution leveraging the potential of artificial intelligence to transform the way we engage with audio streaming. Much like on-demand applications revolutionized traditional industries, Pulseplay sets out to redefine our interaction with music and audio content. This innovative platform offers a seamless, personalized experience, catering to the preferences of music enthusiasts and podcast aficionados. Pulseplay functions as an intelligent gateway to an expansive universe of audio content, effortlessly curating playlists, podcasts, and radio stations according to each user's unique tastes and inclinations. By harnessing cutting-edge AI algorithms, Pulseplay comprehends your musical preferences and adapts its recommendations in real-time. Whether you yearn for the latest chart-toppers, discover obscure indie gems, or delve into insightful podcasts on topics close to your heart, Pulseplay ensures that you are always in tune with your interests. Moreover, Pulseplay integrates facial recognition technology, analyzing users' facial expressions to discern their moods and offer song or podcast recommendations that resonate with their emotions. Its user-friendly interface, combined with the sophistication of artificial intelligence, creates an immersive and personalized listening experience. Pulseplay transcends the role of a mere streaming platform; it is your musical companion, intuitively predicting your audio desires and delivering an unparalleled auditory journey. With Pulseplay, you can look forward to an audio streaming experience like never before. It's time to let the power of AI revolutionize the way you enjoy music and audio content. Discover your perfect audio companion with Pulseplay. |
| Group ID: | AY23BECSP70113 |
| Title: | Vi-Assist using AI |
| Guide Name: | Dr Vinayak Shinde |
| Group members: | RAI RIYANSHU GANGA PRASAD RENU |
| SINGH NEHA HUKAMSINGH RAJWATI | |
| PAL ASHISH KAMALASHANKAR DURGAVATI | |
| Abstract: | Vi-Assist, a groundbreaking visual assistance app, is designed to address the unique challenges faced by the visually impaired. This innovative app provides real-time environmental descriptions, object identification, step-by-step navigation, and even enhances social interactions through its facial inference feature. The development team behind Vi-Assist overcame several technical challenges, including path navigation algorithm design and monocular depth estimation accuracy, all while maintaining lightning-fast real-time processing speed. To ensure precise object tracking, Vi-Assist harnesses the power of OpenCV's KCF tracker, with built-in mechanisms to recover seamlessly from tracking loss. This cutting-edge technology empowers visually impaired individuals, granting them the ability to navigate their surroundings safely, recognize objects, and engage in meaningful social interactions. Vi-Assist is more than just an app; it's a transformative solution that conquers complex technical obstacles to make the world more accessible for those with visual impairments. Vi-Assist: Your Key to Safe Navigation, Object Recognition, and Social Inclusion for the Visually Impaired. |
| Group ID: | AY23BECSP70117 |
| Title: | Easy Startups - Online crowdfunding platform based on blockchain technology through cryptocurrencies |
| Guide Name: | Dr Vinayak Shinde |
| Group members: | GUPTA SANDEEP PRATIPAL RITA |
| GUPTA AVANI ANURAG VINEETA | |
| GUPTA ROHAN RAMPRAKASH REETA | |
| GANGWAR LEHER HITENDRA BENITA | |
| Abstract: | Blockchain Crowdfunding: A Safe, Transparent, and Controlled Approach to Raising Funds Crowdfunding emerged as an online fundraising strategy, primarily designed to help creative individuals secure small donations to finance their projects. Over time, it has evolved to include investments in entrepreneurial start-ups through intermediaries like broker-dealers. However, existing crowdfunding platforms often lack essential features, such as a Donor Guarantee Policy and control over donated funds. This project aims to revolutionize crowdfunding by harnessing blockchain technology, offering a secure, transparent, and reliable alternative. Blockchain technology provides the foundation for a crowdfunding system that eliminates the traditional challenges. It facilitates an interactive environment for campaign creation, donations, and request approval, empowering both campaign creators and donors. Donors can easily track the funds they contribute, as every transaction is securely recorded and stored as a block within the blockchain. Unlike traditional crowdfunding, blockchain-based crowdfunding is not charity. It offers transparency, control, and the mitigation of risks such as high fees and the potential for project failure. By adopting a decentralized approach, we nullify the potential risks associated with conventional fundraising methods. In essence, Blockchain Crowdfunding redefines the crowdfunding landscape, making it a safe, transparent, and controlled avenue for raising funds while ensuring the security and trustworthiness of every transaction. Say goodbye to the limitations of traditional crowdfunding and embrace the future of fundraising with blockchain technology. |
| Group ID: | AY23BECSP70115 |
| Title: | NGO Based Charity System Using Blockchain (Threads of goodness:A rewarding charity experience). |
| Guide Name: | Dr Vinayak Shinde |
| Group members: | REMJE SIDDHANT PRASHANT PRAJAKTA |
| PANDEY SHUBHAM VIRENDRA SANTOSHI | |
| SINGH MANISH SHIVKUMAR USHADEVI | |
| SINGH VEERBHAN RAVIBHAN KANCHAN | |
| Abstract: | Donations through middle men is hard and unreliable. People often refrain from donating due to the risk and fear of possible con people in the middle and the possibility that their donations never reach the needy. To ensure that everyone that lacks proper clothing and ensure basic living standards for the under-privileged. Verification by the receiving organization/individual and incentivizing donations for the donor by giving them in store credits which they can redeem to shop at local businesses later. |
| Group ID: | AY23BECSP70103 |
| Title: | Worker Handyman Solutions : An Web Application for Home Services. |
| Guide Name: | Mrs Aabha Patil |
| Group members: | RAI SIDDHANT RAKESH |
| KALWAR MOHIT ANAND | |
| YADAV VIPIN VIRENDRA | |
| YADAV SWATANTRA SHAMBHUNATH | |
| Abstract: | Transforming Household Chores: The On-Demand Home Services App Revolution In an age where on-demand apps have transformed the way we travel, dine, shop, and even find companions, it's high time our household chores and errands got a modern makeover. Just as we rely on ride-sharing apps to get from point A to point B or food delivery apps to satisfy our cravings, the concept of on-demand home services apps brings a similar revolution to our daily lives. Imagine having your very own "Irona" who can swiftly tackle your household tasks and errands. Let's delve into the essence of these apps and explore the range of services they offer. At its core, an on-demand home services app serves as a convenient platform for hiring professionals to handle all your household chores right at your fingertips. These apps come equipped with all the essential functionalities to make your life easier. Have a leaky faucet at home? Just tap on the app and hire a local plumber who can fix it in no time. Is your air conditioner acting up? A quick call to an air conditioning expert through the app will have it working perfectly within minutes. Similarly, these apps provide solutions for carpentry, house cleaning, home appliance repairs, and a multitude of other household issues. While on-demand home services have become a norm in many countries, the home service marketing niche in India is still in its early stages. As Indian cities continue to experience significant growth and urbanization, the demand for these services is on the rise. These apps are poised to play a pivotal role in simplifying the lives of Indian households, making everyday tasks more manageable and convenient. In this era of on-demand convenience, the on-demand home services app is a game-changer. Embrace the future of household chores and errands with this technological marvel, where your needs are met swiftly and efficiently. Say goodbye to household headaches and hello to a hassle-free living experience. |
| Group ID: | AY23BECSP70111 |
| Title: | DIABOT: A SMART CHATBOT FOR EARLY DIABETES PREDICTION |
| Guide Name: | Mrs Neela Phadnis |
| Group members: | LAYAL KOMPAL (GL) |
| DESHMUKH OM (M1) | |
| GUPTA VIKAS (M2) | |
| TIWARI NIKET (M3) | |
| Abstract: | Bridging the Gap in Diabetes Management: An Innovative AI-Powered Solution Diabetes mellitus remains a pressing global health crisis, emphasizing the crucial need for early detection and intervention in its effective management. This research introduces a groundbreaking application designed to address the pressing requirements of timely diabetes risk prediction, personalized lifestyle guidance, and accessible healthcare information. Current solutions often fall short of providing comprehensive risk assessment, personalization, and direct healthcare provider access, leaving significant gaps in diabetes prevention. Our innovative solution offers a holistic approach to diabetes risk prediction, employing Machine Learning algorithms to analyze essential parameters and calculate a risk score categorized into three levels: Low, Medium, and High. Each risk category is associated with tailored lifestyle recommendations, empowering users to take proactive control of their health. The application also stores the prediction history for user reference, enabling long-term health monitoring. Moreover, our application incorporates an AI-based FAQ chatbot, powered by Google DialogFlow, delivering real-time responses to user queries. Users can seamlessly connect with local healthcare professionals based on their geographic location, ensuring swift access to medical expertise. With bilingual support, our solution transcends language barriers, promoting inclusivity and accessibility for a diverse user base. This research paper emphasizes the profound significance of our comprehensive application in bridging critical gaps in diabetes risk prediction, personalization, and immediate healthcare access. By harnessing the power of AI and data analysis, we aim to revolutionize diabetes management, offering users a proactive and personalized approach to their health while breaking down barriers to access and understanding. |
| Group ID: | AY23BECSP70105 |
| Title: | Clickbait Detection System Using Deep Learning |
| Guide Name: | Mrs Neelam Phadnis |
| Group members: | KACHAWA FARDEEN (GL) |
| BHATT SUJAL (M1) | |
| CHOUDHARY BHAVESH (M2) | |
| SIDDIQUE MOHAMMAD KAIF (M3) | |
| Abstract: | Empowering Digital Literacy and Cybersecurity: The Clickbait Detection System In the era of information overload on the internet, the rampant presence of clickbait content poses a significant challenge to content consumers, adversely impacting digital literacy and cybersecurity. This project introduces a Clickbait Detection System that leverages advanced deep learning techniques, equipping users with the ability to effectively recognize and categorize clickbait. The system is a response to the urgent need to combat the proliferation of deceptive and sensationalized content, providing users with a tool to make informed decisions about the content they choose to engage with. The project's core objectives are threefold: 1. To create a user-friendly web-based application using the Python programming language and the Flask framework. This application enables users to easily upload images and receive real-time clickbait detection results, enhancing their online experience. 2. To implement cutting-edge deep learning algorithms that process and analyze images to identify clickbait elements. This involves the utilization of Optical Character Recognition (OCR) for text extraction and Convolutional Neural Networks (CNNs) for image recognition. These deep learning models, fine-tuned through extensive training, are poised to provide highly accurate clickbait detection results, empowering users to distinguish fact from fiction. 3. Additionally, the project contributes to bolstering cybersecurity by identifying potential phishing links within content, thereby safeguarding users against online threats and reinforcing online security. In conclusion, this initiative offers a comprehensive and user-centric solution to the pressing issue of clickbait material. By integrating modern deep learning algorithms into a user-friendly web application, we provide individuals with the tools they need to navigate the digital world safely, while simultaneously promoting digital literacy and strengthening online security. |
| Group ID: | AY23BECSP70104 |
| Title: | DISHA - Deep Learning based Cyclone Intensity Estimation with NLP based Report Generation |
| Guide Name: | Mrs Neelam Phadnis |
| Group members: | Valay Angar Saitwadekar |
| Het Anand Dave | |
| Vaibhav Nohwar | |
| Anuj Pravin Singh | |
| Abstract: | Unveiling Cyclone Potency: Advanced Technology for Enhanced Cyclone Understanding and Preparedness In a world increasingly affected by the devastating impacts of climate change, there is an urgent need to understand and respond effectively to natural disasters, and cyclones, with their potential for catastrophic damage, demand our unwavering attention and preparation. The "Unveiling Cyclone Potency" project harnesses cutting-edge technology to advance our comprehension of cyclones and their intensity. By combining sophisticated deep Convolutional Neural Networks (CNNs) with a user-friendly web application, this initiative equips us to predict, respond to, and protect against these formidable atmospheric events. The Need for Cyclone Sensing in India and other vulnerable regions is undeniable. Cyclones, often referred to as hurricanes or typhoons, present severe threats to coastal areas, leading to infrastructure damage and the loss of precious lives. Timely and effective responses require a deep understanding of cyclone intensity. As evidenced by the staggering $60 billion in damages caused by Atlantic hurricanes in 2020 and significant losses in the Indian Ocean, the impact of cyclones cannot be underestimated. Embracing technological innovation for cyclone preparedness is not merely a matter of science; it's a moral imperative. Our deep CNN model significantly enhances the accuracy of cyclone detection, aligning with the global mission of disaster mitigation. Together, let's drive innovation and foster collaboration to revolutionize our response to cyclones, safeguard lives, and secure our future from the unpredictable forces of nature. Join us in this critical endeavor to enhance cyclone understanding and preparedness, for a safer, more resilient future. |
| Group ID: | AY23BECSP70107 |
| Title: | Supercert - Antifraud Identity intellegance Blockchain Solution for Educational Certificates |
| Guide Name: | Mr Pravin Jangid |
| Group members: | GAIROLA AKANKSHA ABHAYA RAM ANITA |
| SALIAN SHRIYA PAVITRA HARINAXI | |
| SHAIKH AMIRA SAJID MOHD AFIYA | |
| Abstract: | Revolutionizing Education Certificate Verification: The SuperCert Blockchain Solution Traditional paper-based transcripts face growing challenges, particularly in India, where fraudulent certificates are becoming a pervasive issue. This abstract delves into the two primary problems of counterfeit degrees from fake universities and fake degrees from legitimate universities. Despite the efforts of organizations like the University Grants Commission, fraudulent agencies persist, posing a significant threat to the integrity of academic credentials. This situation results in tangible costs for companies conducting credential verification and inconvenience for students. The transition to digital certification methods seems promising, but they remain vulnerable to fraud and attacks, often through trusted third parties, as exemplified by the 2018 incident involving the CEO of CA Trustico. The prevalence of fraudulent educational transcripts is a grave concern, impacting the trustworthiness of professional credentials and the integrity of academic institutions. Enter SuperCert, a groundbreaking solution that leverages a decentralized blockchain ledger to create immutable educational certificate records, making them tamper-proof and impervious to forgery. SuperCert represents a pioneering leap in the field of education certificate authentication. By integrating blockchain technology with cutting-edge identity intelligence, it not only safeguards the integrity of educational certificates but also fosters a network of trust. The system's efficiency, security, and accessibility promise to revolutionize the way educational credentials are verified, with profound implications for academic institutions, employers, and individuals alike. SuperCert: Elevating Education Certificate Authentication to a New Level - Revolutionizing Trust and Integrity. |
| Group ID: | AY23BECSP70102 |
| Title: | Delta NFT Marketplace |
| Guide Name: | Mr Pravin Jangid |
| Group members: | SHARMA RAVIKUMAR SUBODH SITA |
| MISHRA PRASHANT AWADHESH MANJU | |
| PAL SACHIN RAJMANI ANITA | |
| GUPTA PAPPU NANDKISHOR LILAVATI | |
| Abstract: | Redefining NFT Trading: Delta NFT Marketplace, Where Innovation Meets Artist Empowerment In the ever-evolving world of NFTs, the Delta NFT Marketplace emerges as a game-changer, setting a new standard for the NFT trading experience with its innovative features and a profound commitment to artist empowerment. As a cutting-edge platform, Delta provides users with a seamless and secure environment to explore, acquire, and trade unique digital assets. What truly sets Delta apart is its dedication to nurturing a vibrant artist community, fostering enhanced user interaction, and shaping the future of NFTs through a forward-looking vision. Delta NFT Marketplace is not just another marketplace; it's a revolution in the NFT space. With a focus on empowering artists, this platform is poised to make waves in the NFT world and redefine the way we engage with digital art and collectibles. Join us on this journey as we push the boundaries of NFT trading and celebrate the creativity of artists from all walks of life. Experience the future of NFTs with Delta. |
| Group ID: | AY23BECSP70110 |
| Title: | Detecting Hate Speech and Converting into Non Violent Speech |
| Guide Name: | Mr Pravin Jangid |
| Group members: | GARG OM DEEPAK PRATIMA |
| GUPTA NILESH ARJUN SARITA | |
| AHIREKAR ATHARVA RAMCHANDRA ROHINI | |
| GUPTA ANIKET RAMUPRASAD KARPURA | |
| Abstract: | Unveiling the Performance Secrets of Hyperledger Fabric: A Comprehensive Empirical Study The surge in popularity of permissioned blockchain platforms has been remarkable, and among these, Hyperledger Fabric stands as a prominent player. Hosted by the Linux Foundation, Hyperledger Fabric is a permissioned blockchain framework renowned for its robust features. It encompasses a multitude of components, including smart contracts, endorsers, committers, validators, and orderers. Recognizing the paramount importance of blockchain platform performance for enterprise applications, this work embarks on a comprehensive empirical study to characterize the performance of Hyperledger Fabric, shedding light on potential bottlenecks and enhancing our understanding of the system. Our research employs a two-phased approach to uncover the intricacies of Hyperledger Fabric's performance. In the initial phase, our objective is to discern the impact of various configuration parameters, such as block size, endorsement policies, channels, resource allocation, and state database choices, on transaction throughput and latency. By doing so, we aim to provide valuable guidelines for configuring these parameters while simultaneously identifying performance bottlenecks that may affect system efficiency. In the second phase of our study, our focus shifts to optimization. Armed with insights gained during the initial phase, we delve into the task of enhancing Hyperledger Fabric based on our observations. This optimization process is intended to fine-tune the platform, ensuring that it operates at peak efficiency and delivers exceptional performance. Our research endeavors to not only reveal the secrets of Hyperledger Fabric's performance but also to pave the way for enhanced configuration and optimization, ultimately making it an even more valuable asset for enterprise blockchain applications. Join us on this journey of discovery as we unlock the full potential of Hyperledger Fabric, setting the stage for a new era of high-performance, permissioned blockchain solutions. |
| Group ID: | AY22BECSP80107 |
| Title: | SIGN LANGUAGE BASED VIDEO CALLING APP |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shadab Shaikh (Roll No 44) |
| 2) Mohit Hadiyal (Roll No 14) | |
| 3) Narendra Choudhary (Roll No 4) | |
| 4) Nivedita Rajbhar (Roll No 36) | |
| Abstract: | Deaf and hard of hearing people communicate with others and within their own communities by using sign language. Computer recognition of sign language begins with the learning of sign gestures and continues through the production of text and speech. There are two types of sign gestures: static and dynamic. Both gesture recognition systems are crucial to the human community, even if static gesture recognition is easier than dynamic gesture recognition. We have conducted research on the steps required to convert static American sign language (ASL) to readable text and selected the best available methods to do so. Examined general steps are the data collection, pre-processing, transformation, feature extraction, and classification. There are also some recommendations for further study in this field. |
| Group ID: | AY22TECSM60110 |
| Title: | RADION- A SLRTCE COLLEGE CHATBOT USING PYTHON AND NLTK |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Mantasha khan |
| 2) Kompal Layal | |
| 3) Naman Pandey | |
| 4) Niket Tiwari | |
| Abstract: | Technology is growing day by day. Nowadays users use a chatbot to interact with software or application. A chatbot is a program that can communicate with users using Artificial Intelligence on different platforms. During the admission process in colleges, students have countless queries and issues that need to be repeatedly answered and solved by the admission staff. However, with the help of a chatbot, the process can be automated which helps in decreasing the load of the staff and increases the response time. The data can be stored in its database to identify the sentences and use an algorithm that analyses queries and understand the user’s message, save the input and respond with the knowledge gathered from the responses. |
| Group ID: | AY22TECSM50106 |
| Title: | Job and Admission Prediction Using Machine Learning |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Surve Pradnya Shahaji (61) |
| 2) Singh Neha Humkumsingh (58) | |
| 3) Pal Ashish Kamalshankar (36) | |
| 4) Rai Riyanshu Ganga Prasad (45) | |
| Abstract: | The World is developing rapidly and continuously looking for the best knowledge and the experience among the people. This motivates people all around the world to stand out in their jobs and for higher degree that can help them in improving their skills and knowledge. The current admission database was created for the prediction of admission in the university. It was built to help student shortlist university based on their profile. The predicted output gives them a fair idea about their chances of getting accepted. As out object is to predict whether a student will get admission or not at the desired Institute & also the rank-wise list of possible colleges where they will get admission. And also prediction. So it’s a majorly classification of problem. |
| Group ID: | AY22BECSP80110 |
| Title: | Fertilizer Supply Chain Management Using Blockchain |
| Guide Name: | Mr.Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Maurya Sachin Rakeshkumar (Roll No 25) |
| 2) Tiwari Shivamkumar Rajendra (Roll No 51) | |
| 3) Shaikh Amanullah Meraj (Roll No 39) | |
| 4) Kushwah Aniket Abhimanyu (Roll No 23) | |
| Abstract: | This paper explores the potential use of blockchain technology in fertilizer supply chain management. The project begins by identifying the current issues and challenges in the fertilizer supply chain and how blockchain technology can address them. The project team then designs and implements a blockchain based supply chain management system for the fertilizer industry. The allocation of subsidies is also covered in the study, along with problems including corruption, poor management, and a lack of openness. The team utilizes smart contracts, decentralized data storage, and consensus mechanisms to improve transparency, traceability, and efficiency in the fertilizer supply chain. The system is evaluated through user testing, and feedback is collected to identify strengths and weaknesses. The results show that the blockchain-based supply chain management system can significantly improve the efficiency and accountability of the fertilizer supply chain. The project concludes by providing recommendations for the implementation of blockchain technology in the fertilizer industry, emphasizing the need for standardization, collaboration, and stakeholder engagement. This project aims to contribute to the practical application of blockchain technology in the fertilizer industry and provide a foundation for further research in this field. |
| Group ID: | AY22BECSP80105 |
| Title: | Medicine Logistics System Using Blockchain |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sharma Jeet Devendra (Roll No 41) |
| 2) Jain Darsh Nareshkumar (Roll No 15) | |
| 3) Asjad Sajid Nirban (Roll No 31) | |
| 4) Singh Jivan Udayshankar (Roll No 44) | |
| Abstract: | The purpose of this report is to present the latest innovations in the Medicine distribution processes of pharmacies, manufacturers, and doctors. The literature review and the in-depth analysis of a case study support the understanding of the unit dose medicine distribution system and the subsequent definition of the practical implications for pharmacies, manufacturers, and doctors. Starting from the insights offered by the case study, the analysis shows that using blockchain will provide a decentralized platform for tracking drugs and provide transparency to the patient. The limitations of the research are proposal of the system is relatively new and hence employing the system across the existing system is a task. This report analyzes how prescription drugs are sold to patients even without a valid prescription. These people misuse these drugs and it is very difficult to keep a track of the medicines. for the competitive development of a fundamental sector. Around the world, prescription drugs are sold to patients even without a valid prescription. These people misuse these drugs and it's very difficult to keep track of the medicines. Also, the pharmacists tamper with the packaging and details such as MRP and expiry dates which affects the consumers directly and might cause harm to them as well. This makes it necessary to create a system to keep track of the medicines, verify the authenticity of the medicines as well as make sure there is no tampering with the package. |
| Group ID: | AY22BECSP70108 |
| Title: | Public Distribution System |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Jain Varsha Mukesh (Roll No 20 ) |
| 2) Mule Darshana Vishnu (Roll No 37) | |
| 3) Poojary Shipra Satish (Roll No 42 ) | |
| 4) Sahani Ratnesh Ramsajan (Roll No 47 ) | |
| Abstract: | Food security is a major concern in many parts of India as hunger and malnutrition persist.In this project we have proposed a system called Public Distribution System. It is a system for distribution of food grains at affordable prices. There are a lot of mismanagement of stock, wastage and delayed payments involved in the process. Also there is lack of transparency in the system. The objective of using Blockchain technology in PDS is to track food grains and record all key data throughout the supply chain. Business logic implemented through smart contracts will facilitate payments to farmers and millers. It will also help in tracking and tracing the movement of stocks through the supply chain. The different stack holders in the PDS chain are the millers, the farmers, the warehouses, the beneficiaries, and government. The solution will be in the form of a cross platform software application. It should be feasible to integrate with the existing flow with minimal changes. The solution ensures Food and Nutritional Security by making the food affordable, accessible and available to everyone. |
| Group ID: | AY22BECSP70119 |
| Title: | Coaching Management System |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Mittal Yash Neeraj (Roll No.29) |
| 2) Mishra Yashvin Dinesh (Roll No.68) | |
| 3) Shaikh Zaid Kamal (Roll No.71) | |
| Abstract: | The Project "Coaching Institute Management System". We introduce a new software product for handling activities takes place inside coaching institutes. Now a day there is a tremendous increase in the activities takes place inside the coaching institutes. The "Coaching Institute Management System" is a software product to automate and log on to various day-to-day activities and to provide instantaneous information required in effective management of any coaching institute. The automation part of the software would involve data capture and maintenance of details on the institute, staff, students and tasks in the overall management of the institute. In the existing system we can stored all the record manually that required large man power and place to store the records. Due to manual maintains lots of faults are occurred so needed to replace existing system by automated software system. Automated system is time saving and gives better performance than manual based system. |
| Group ID: | AY22BECSP80106 |
| Title: | Web application for Interpretation of Doctor's handwritten prescription and suggesting the best price offer over various e-commerce websites using AI. |
| Guide Name: | Dr. Vinayak D Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Joshi Tanmesh Suryakant Jaishree (Roll No 67) |
| 2) Das Saumen Samir Jyostana (Roll No 64) | |
| 3) Ghosh Sankalp Sunil Chaitali (Roll No 07) | |
| 4) Jha Chirag Chunchun Kiran (Roll No 66) | |
| Abstract: | Patient record-keeping is crucial for accurate diagnoses and treatment. In India, due to time constraints, most doctors manually write prescriptions, making it challenging for pharmacists to read them correctly. This increases the risk of dispensing the wrong medicine, which can have serious and even fatal consequences for patients. To address this problem, this research proposes an online handwritten medical prescription recognition system that allows users to scan prescriptions and compare prices across different websites. OCR techniques are used to recognize medicine names in handwritten prescriptions, while NLP techniques such as Cosine Similarity are employed to overcome the issue of misinterpretation. The review study focuses on Named Entity Recognition and Relation Extraction, which help identify named entities and extract relations between entities. Most state-of-the-art techniques are offline and computationally expensive, highlighting the need for understanding the deep-learning processes used in the proposed system. The system stores various features such as medicine names, uploaded images, user details, and search history to improve recognition accuracy. Additionally, new features are proposed to enhance accuracy further. Uses a local dataset from a pharmacy shop and past prescription records from local doctors. |
| Group ID: | AY22BECSP80116 |
| Title: | Decentralized Techniques Based White Paper Publication Portal |
| Guide Name: | Dr. Vinayak D Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Joshi Hemang Hemant Mukta (Roll No. 19) |
| 2) Mewada Hitesh RameshKumar Anita (Roll No. 27) | |
| 3) Gupta Chandan Kamalkishor Lalmati Devi (Roll No. 09) | |
| 4) Ansari Mohammad Zeyan Mohammad Afzel Razia Begum (Roll No. 01) | |
| Abstract: | This paper presents the development of a web application, which aims to provide a platform for white paper authors to upload and have their documents reviewed by industry experts and scholars. The main objective of the web app is to address the issue of biases and lack of authenticity often associated with white papers, which can be exploited by malicious actors in the cryptocurrency space. The web app will utilize Ethereum block chain technology to provide security and authenticity to the uploaded white papers, which will be converted into non fungible tokens to ensure their uniqueness. The authors will also have the ability to self-upload their white papers onto a secured IPFS database and use ERC721 protocols to mint them as nonfungible tokens. In addition, the web app will allow white paper authors to receive crowdfunded support from users holding ETH in their web3 wallets. With our unique authentication system utilizing decentralized techniques, the White Paper Publication Portal ensures that only verified authors can publish their work, enhancing both the security and credibility of the platform. |
| Group ID: | AY22BECSP70115 |
| Title: | DECENTRA TWITTER USING BLOCKCHAIN |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Loukik Naik (Roll No. 69) |
| 2) Raghav Gupta (Roll No. 11) | |
| 3) Om Aryan (Roll No. 32) | |
| 4) Ankit Upadhyay (Roll No. 52) | |
| Abstract: | Blockchain nowadays has become a hot topic in technology, finance, regulation, and the wider society in recent years. A plethora of permissions and permissionless blockchain platforms are available in the industry, and some could be used to develop a social networking site. This report proposes a framework for secure, trustworthy social networking that also creates value for user-generated content by using a blockchain-enhanced framework for social networking. In this work, we design blockchain-based data storage and access a framework that will not totally dependent on centralized Twitter. We use the public blockchain and tools like Ganache, MetaMask, and Ethereum IDE for deploying the contracts. In the proposed work, metadata of the files are stored on the blockchain and we use networks like the goerli test network for occurring the Transactions using peer-to-peer networks. The decentralized data storage will help to eliminate the most traditional data failures and outages by securing and controlling the data. |
| Group ID: | AY22BECSP80113 |
| Title: | OSINT AUTOMATION APPLICATION |
| Guide Name: | Mr. Rajesh Gaikwad, Associate Professor, CS, SLRTCE |
| Group members: | 1) Kureel Vinay Kumar Rameshchand (Roll No 22) |
| 2) Arya Manav Sunil Kumar (Roll No 02) | |
| 3) Kini Aditya Subhash (Roll No 21) | |
| 4) Maurya Suraj Govind (Roll No 26) | |
| Abstract: | Today a lot of people/companies are applying for bank loans. The core business part of every bank is the istribution of loans. The main objective of the banking sector is to give their assets in safe hands. But the banks or the financial companies take a very long time for the verification and validation process and even after going through such a regress process there is no surety that whether the applicant chosen is deserving or not. To solve this problem, we have developed a system in which we can predict whether the applicant chosen will be a deserving applicant for approving the loan or not. The system predicts on the basis of the model that has been trained using machine learning algorithms. We have even compared the accuracy of different machine learning algorithms. We got a percentage of accuracy ranging from 75-85% but the best accuracy we got was from Logistic Regression i.e., 88.70%. It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Such problems can be tackled with Data Science and its importance, along with Machine Learning, cannot be overstated. This project intends to illustrate the modelling of a data set using machine learning with Credit Card Fraud Detection. |
| Group ID: | AY22BECSP80112 |
| Title: | Predictive Analysis in Banking Using Machine Learning |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Gupta Ashwin Arun Kumar (Roll No.08) |
| 2) Chaurasiya Ravi Panchuram (Roll No. 63) | |
| 3) Khambati Aadil Afzal (Roll No. 20) | |
| 4) Niraj Sureshchand Yadav (Roll No. 59) | |
| Abstract: | The purpose of this paper is to present the latest innovations in the OSINT Technologies, which are currently dealing with data breaching and fragmented organizational responsibilities. Design/methodology/approach – The literature review and the in-depth analysis of a case study support the understanding of the OSINT system and the subsequent definition of the practical implications for OSINT Framework. Findings – Starting from the insights offered by the case study, the analysis shows that the impact of cybercrime has necessitated intelligence and law enforcement agencies across the world to tackle cyber threats. Research limitations/implications – The limitations of the research are those related to the theoretical and exploratory nature of the study, but from a practical point of view, the work provides publicly available information on the internet that aid an attacker and find measures to Eradicate or reduce this information to an extent. Originality/value – This paper analyzes a new and highly topical issue and provides several insights for the competitive development of a fundamental sector. Keywords OSINT Scanning, OSINT data harvesting, Data Breaching Security Paper Type Case study. |
| Group ID: | AY22BECSP80111 |
| Title: | A Web App For Anonymous Tipping Of Suspicious Activity Using Blockchain |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shlok Nikhil Upadhyay (53) |
| 2) Satyam Ramesh Vishwakarma (55) | |
| 3) Isha Rakesh Yadav (61) | |
| 4) Durvesh Sunil Khanvilkar (60) | |
| Abstract: | Modern street crime has been increasingly affecting the formation of the criminal genetic situation in Russia. The main goal of this paper is exploring the possible application of modern digital technologies in the evaluation and prevention of public crime. The methods presented in this empirical research are: monitoring, statistical methods, modeling and questioning, content analysis, research result processing. As a result of the analysis of the received data, generalized quantitative and qualitative indicators of modern street crime were presented. prevalence of mercenary and violent crimes 61,4% in the current criminal situation in the city streets structure of street crime, the percentage of street crime in relation to all crime done in public places is 45,0% with the rising tendency of serious crime and latency; places where street crime takes place are empty, open city spaces composing about 12% of all the streets of the city; the prevailing "work schedule" of a street criminal is determined by the time of the year fall winter, day of the week Friday, weekends and holidays and time of day evening-night, the increase in mobile phone theft from people passing in the streets; a characteristic way of street theft and robbery is their suddenness and unpredictability. The article supports the conclusion that the current system of street crime prevention methods and its practice doesn't provide salvation from street criminals and thus requires further improvement with the consideration of the rising possibilities of the internet-space, specifically, usage of digital applications and devices. |
| Group ID: | AY22BECSP80104 |
| Title: | Healthcare Data Management System Using Blockchain |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Prerna Ranjan (Roll No. 37) |
| 2) Aanchal Verma (Roll No. 54) | |
| 3) Anand Sagar Yadav (Roll No. 57) | |
| 4) Devanand Gupta (Roll No. 10) | |
| Abstract: | The healthcare industry generates vast amounts of data that must be managed and stored securely. Blockchain technology has the potential to revolutionize healthcare data management by providing a secure, decentralized, and tamperproof way to store and share data. Today’s medical data management systems require data transparency, traceability, Immutability, auditing, lineage, flexible access, trust, privacy, and security. Also, most of the existing Healthcare systems used to manage data are centralized and pose potential risks in the event of a single point of failure Natural disaster. Blockchain is an emerging and disruptive decentralized technology that has the potential to become an important technology. This research will show you how the use of blockchain for medical data management systems can stimulate innovation and make great strides in improvement. It also describes the key benefits of hiring Opportunities in Blockchain Technology and the health-care industry. The purpose of this research is to explore the implementation of blockchain technology in health data management and identify related challenges. |
| Group ID: | AY22BECSP70114 |
| Title: | EPICRAFT – ECOMMERCE FOR ARTISANS |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Ritu Shailendra Jha (Roll No 18) |
| 2) Ritu Raju Jha (Roll No 17) | |
| 3) Nandini Vijay Gurav (Roll No 13) | |
| Abstract: | Epicraft is an e-commerce platform focused on promoting the handicraft and handloom industry of India. Built using the MERN technology stack, the platform offers a seamless user experience with its React-based frontend and Node.js-powered backend. The system uses MongoDB for data storage and management, while Stripe is integrated as the payment gateway for secure and hassle-free transactions. The project has been hosted on Render and Netlify, ensuring high reliability, scalability, and accessibility for users. With Epicraft, artisans from various parts of India can showcase and sell their unique and high-quality products to a global audience, while buyers can discover and purchase authentic Indian handicrafts and handloom items with just a few clicks. Built on the latest technology stack, Epicraft provides a user-friendly interface with smooth navigation, enabling customers to browse and purchase a wide range of handcrafted items from the comfort of their homes. The platform also offers features like secure payment gateways, easy checkout process, and timely delivery to ensure a hassle-free shopping experience. Epicraft has been hosted using Render and Netlify, ensuring the platform's scalability, security, and reliability. The platform's focus on Indian handicrafts and handlooms has the potential to revive and uplift this sector, thereby contributing to the country's cultural and economic growth. Overall, Epicraft is a unique and innovative initiative that brings together traditional Indian art and modern technology to create a platform that connects artisans and customers, fosters creativity, and promotes the rich cultural heritage of India |
| Group ID: | AY22BECSP70118 |
| Title: | Dog Breed Prediction Using Deep Learning and E-commerce |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Abhinav Rajhans (Roll No 70) |
| 2) Ritu Raju Jha (Roll No 17) | |
| 3) Satyam Dubey (Roll No 06) | |
| 4) Piyush Dave (Roll No 05) | |
| Abstract: | Abstracts must include sufficient information for reviewers to judge the nature and significance of the topic, the adequacy of the investigative strategy, the nature of the results, and the conclusions. The abstract should summarize the substantive results of the work and not merely list topics to be discussed. An abstract is an outline/brief summary of your paper and your whole project. It should have an intro, body and conclusion. It is a well-developed paragraph, should be exact in wording, and must be understandable to a wide audience. Abstracts should be no more than 250 words, formatted in Microsoft Word, and single-spaced, using size 12 Times New Roman font. Abstracts highlight major points of your research and explain why your work is important; what your purpose was, how you went about your project, what you learned, and what you concluded. Although the content will vary according to field and specific project, all abstracts, whether in the sciences or the humanities, convey the following information: The purpose of the project identifying the area of study to which it belongs. The research problem that motivates the project. The methods used to address this research problem, documents or evidence analysed. The conclusions reached or, if the research is in progress, what the preliminary results of the investigation suggest, or what the research methods demonstrate. The significance of the research project. Why are the results useful? What is new to our understanding as the result of your inquiry? The abstract should be one paragraph and should not exceed the word limit. Edit it closely to be sure it meets the Four C's of abstract writing: Complete — it covers the major parts of the project. Concise — it contains no excess wordiness or unnecessary information. Clear — it is readable, well organized, and not too jargon-laden. Cohesive — it flows smoothly between the parts. |
| Group ID: | AY22BECSP80102 |
| Title: | Text Summarization for News and Science Articles |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Mandar Alok Bakshi (Roll No. 03) |
| 2) Ashish Indrapal Tak (Roll No.47) | |
| 3) Omkar Chandrashekhar Tendolkar (Roll No.48) | |
| 4) Aayush Yadunath Yadav (Roll No.56) | |
| Abstract: | Text summarization is the process of automatically generating a shorter version of a longer text, while retaining its most important information. The goal of text summarization is to help readers quickly grasp the essential points of a document, without having to read the entire text. Text summarization techniques can be broadly classified into two categories: extractive and abstractive. Extractive summarization involves selecting the most important sentences or phrases from the original text, while abstractive summarization involves generating new sentences that capture the essence of the original text. The techniques used for text summarization include statistical methods, such as TF-IDF and graph-based algorithms like Lex Rank, as well as machine learning-based methods like neural networks. Text summarization has many applications in various fields, including news articles, research papers, legal documents, and social media. The advantages of text summarization include improved efficiency and productivity, increased accessibility to information, and reduced information overload. However, the limitations of text summarization include the possibility of losing important context and potential bias in the selection of important sentences. Ongoing research in text summarization aims to develop more advanced techniques that address these limitations and generate more accurate and informative summaries |
| Group ID: | AY22BECSP80117 |
| Title: | Saathi - Your Chat Companion |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Deepanshu Kailashnath Yadav (Roll No.74) |
| 2) Amey Atul Bhavsar (Roll No.62) | |
| 3) Ankita Ramesh Upadhyay (Roll No.73) | |
| 4) Pooruvi Virendra Singh (Roll No.45) | |
| Abstract: | Our mental, emotional, and social health affect our thoughts, feelings, and behaviours. If a person has mental health concerns, the aforementioned circumstances may have an effect on their thinking, emotions, and behaviour over the course of their lifetime. A billion individuals worldwide experience some type of mental illness, ranging from the most common conditions like anxiety and depression to psychosis and personality disorders. Mental illnesses significantly reduce a person's quality of life as well as their ability to contribute to society and the economy. According to the National Mental Health Survey from 2017, one in seven Indians had mental illnesses including sadness and anxiety. Therefore, it is necessary to increase public awareness of mental health. Only when individuals can talk openly about their mental health and ask questions without feeling awkward will this be achievable. An AI-based chatbot can help in this situation. A chatbot can help people change their negative ideas into positive ones by interacting with them in an unbiased manner. So, we are creating an AI chatbot for both personal and professional mental health aid |
| Group ID: | AY22BECSP801109 |
| Title: | Vegetaux - An application to detect disease in the leaves of plants. |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tiwari Harsh Tribhuvan (Roll no.50) |
| 2) Singh Akshay Vinaykumar (Roll no.43) | |
| 3) Singh Vibhanshu Vijaypratap (Roll no.47) | |
| 4) Tiwari Aarushi Ajaykumar (Roll no.49) | |
| Abstract: | Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Leaf disease detection is a critical task in pro Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphoneassisted disease diagnosis. Leaf disease detection is a critical task in precision agriculture to ensure optimal crop health and maximum yield. Recently, deep learning techniques, especially convolutional neural networks (CNNs), have shown promising results in the field of plant disease detection. The proposed method employs transfer learning to fine-tune pre-trained CNN models, followed by an image augmentation strategy to enhance the training dataset. Experimental results on a publicly available benchmark dataset demonstrate the effectiveness of the proposed method in accurately detecting and classifying various types of leaf diseases in plants. The proposed method achieves a high accuracy of over 95%, outperforming the state-of-the-art methods in the literature. This paper contributes to the development of automated plant disease detection systems, which can provide timely and accurate disease diagnosis, leading to effective crop management and reduced economic losses. excision agriculture to ensure optimal crop health and maximum yield. Recently, deep learning techniques, especially convolutional neural networks (CNNs), have shown promising results in the field of plant disease detection. The proposed method employs transfer learning to fine-tune pre-trained CNN models, followed by an image augmentation strategy to enhance the training dataset. Experimental results on a publicly available benchmark dataset demonstrate the effectiveness of the proposed method in accurately detecting and classifying various types of leaf diseases in plants. The proposed method achieves a high accuracy of over 95%, outperforming the state-of-the-art methods in the literature. This paper contributes to the development of automated plant disease detection systems, which can provide timely and accurate disease diagnosis, leading to effective crop management and reduced economic losses. |
| Group ID: | AY21BECSP70501 and AY21BECSP80501 |
| Title: | Product Analogy |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Agrawal Aayush Vikas (01) |
| 2) More Shubhangi Sukachari (34) | |
| 3) Singh Manav Jagdish (55) | |
| Abstract: | People are dependent on internet websites for grocery shopping and other daily necessities during the pandemic time of 2020, which has seen a significant surge in online purchasing. People frequently compare costs between multiple stores, adding to the complexity of their purchase. This results in the waste of a significant amount of time that may be better spent elsewhere, on something more useful. They will not be able to take advantage of the offers and services available on online shopping websites if they purchase offline. This website will allow users or consumers to compare and purchase things from a variety of websites all on one page. It will compare prices and provide you with the lowest and most relevant products with the best deals. This website will be built using HTML, CSS, and Jquery to make it more appealing and user-friendly. MySQL will be used to create the database, and PHP will be used to connect it to the website. ParseHub is a web scraping application. This project will be expanded into an application that will be more useful, and a user-friendly GUI will be able to attract a larger number of users. To make it more convenient, a recommendation system will be implemented to recommend relevant products or previously purchased items. This website can be used not only for grocery or everyday things, but also for gadgets if the people request it. |
| Group ID: | AY21BECSP70502 and AY21BECSP80502 |
| Title: | Notesac (An Encrypted Notebook) |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Balmiki Pooja Rajendra (04) |
| 2) Anavkar Abhay Chetan (02) | |
| 3) Mhatre Tanvi Sanjay (29) | |
| Abstract: | There are world efforts to make technology act with the education field for better learning achievements. Technology tries to replace the traditional learning environments, media, and activities into the digital age. However, slow progress has been achieved to transfer the note-taking activities into the digital era. In this project, we explored current note taking tools which developed to bridge the gap between paper-based and technology-based notes. We tried to identify key specific problems and challenges in the current note taking system. This project is providingextensive investigation with systematic analysis about the impacts of current note taking tools in learning to identify constraints and limitations of typical note taking systems and developing a note taking application which is more easy to use with freely available features. |
| Group ID: | AY21BECSP70503 and AY21BECSP80503 |
| Title: | Blockchain based model for royalty payments of Artists |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Dsouza Delcy Divan (10) |
| 2) Tiwari Neha Kamlesh (63) | |
| Abstract: | Music has always been a way for artists to express themselves. With the availability of digital music streaming platforms, the music industry has grown exponentially within the past few years. However, these streaming platforms that stream music are centralized due to which artists gets a tiny fraction of revenue and also lack control over their content. The cases of plagiarism in the music industry have increased a lot due to which it is necessary to use such a technology that can act as a boon for artist. In the current scenario, a revolutionary technology is needed that can provide more control and transparency over their content to the artist. With the existing systems, the artist needs to be dependent on many middlemen like labels, streaming platforms, etc. To eliminate this problem, our project mainly focuses on a decentralized approach using blockchain with direct interaction between artists and users for uploading, buying songs and paying royalty. The artists can upload their music on the DApp ensuring its ownership and avoiding any chances of plagiarism. The users can buy the song from the independent artist and listen to the music and also can support the artist buy giving donations using Ethers. The purpose is to create a foundation for those who have talent but not the opportunity to shine along with the fact that every hardworking artist, irrespective of the fame or popularity, can get their deserved recognition and royalty with the prospect to be appreciated through the methodology where on an upload, With the help of Ethereum blockchain and IPFS, revenue will go directly to the artists transparently and securely. The hash and its fingerprint are generated to check for copyright. If successful, a transaction system is carried out with the help of a decentralized application. |
| Group ID: | AY21BECSP70504 and AY21BECSP80504 |
| Title: | Detection and Elimination of Network Covert Channel with Active Wardens |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Yadav Vivek Gulabchand (75) |
| 2) Dubey Ankit Avadhesh (13) | |
| 3) Gupta Abhishek Devraj (15) | |
| Abstract: | A covert channel is a logical link between two compromised systems through which two end applications can secretly exchange information without being detected. Covert channels can also be defined as sending the data through a path that is not intended to send the data. Here we have selected the Initial Sequence Number (ISN) of the TCP layer to send the data covertly. Our research is divided into two parts first is the creation of covert channel and second is detection and elimination of covert channel. We created a covert channel that can use such path to send some amount of data covertly also we used an algorithm to hide data while sending it through ISN and that can be recovered on the receiver end. For detecting the covert channel we mixed covert traffic with normal traffic and passed it through our detection algorithm that will act as active warden and it will be able to segregate the covert traffic by analyzing each and every packet at IP layer. Once the covert traffic is detected we will halt the IP Address of that machine from sending data or to establish the connection with compromised host for random amount of time. We are halting the IP address of another machine in order the scramble the data so that content of data cannot be read easily. |
| Group ID: | AY21BECSP70505 and AY21BECSP80505 |
| Title: | Coloring and Styling Images |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Yadav Vivek Gulabchand (75) |
| 2) Dubey Ankit Avadhesh (13) | |
| 3) Gupta Abhishek Devraj (15) | |
| Abstract: | Neural style transfer has been a fascinating use case of deep learning. This project showcases the use of automatic differentiation and the Adam optimization technique to update a target image according to content and style images. The aim of this project is to expose the style transfer model which can be consumed by the developers that want to use it for their work. Styling image is a technique for blending a style reference image and the input image you would like to style such that the input image appears to be the same as the content image but is "painted" in the manner of the style image. To achieve the purpose of stylizing the images, we employed Tensor Flow's API and Automatic differentiation. This is accomplished by adjusting the output image's content statistics to match the content image's content statistics and the style reference image's style statistics. A convolutional network is used to extract these data from the images. By separating and recombining visual content and style, Convolutional Neural Networks (CNNs) demonstrated the power of creating aesthetic imagery. Neural Style Transfer is the process of employing CNNs to generate a content image in different styles (NST). Since then, NST has been a prevalent topic in academia as well as in industry. It is gaining popularity, and other techniques to improving or extending the original NST algorithm have been presented. |
| Group ID: | AY21BECSP70506 and AY21BECSP80506 |
| Title: | proLearning: Web App for A Massive Open Online Courses |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Suraj Maurya (27) |
| 2) Ashish Prasad Kushwaha (24) | |
| 3) Nikita Jha (21) | |
| Abstract: | Web development gives the opportunity to express yourself creatively using the internet. Fortunately, the high-demand, easy-to-learn, fun-to-experience life of a web developer is always a great choice for someone ready to have an exciting career in coding. As our application is web development learning platform, the main motive is to make available different types of courses from beginner level to advanced level so that all the end-users can make use of it. Here user search courses based on content-based filtering which fetches the items based on their physical attribute. In order to access all the essential services which we have provided, first users have to sign up if they are new or they can sign in by their username and password if users don’t want to go through the registration process they can login with Google directly & can access the free resources. As continuous communication between server and user are required hence node.js, which is a server-side scripting language and mongoDB database have been used here. Online courses have brought a positive impact on the lives of students and working professionals. It has given an opportunity to take up additional courses along with their studies or job at their convenience. This website will provide a platform to make available different courses. This platform is intended for anyone who wants to learn new things. |
| Group ID: | AY21BECSP70507 and AY21BECSP80507 |
| Title: | Multi-User Chat Application |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Chaitanya Malani (26) |
| 2) Mugees Shaikh (45) | |
| 3) Neeraja Apte (03) | |
| Abstract: | The latest development of the Internet has brought the world into our hands. Everything happens through the internet from passing information to purchasing something. Internet made the world as small circle. This project is also based on the Internet. This paper shows the importance of chat applications in day today life and their impact in the technological world. This online system is developed to interact or chat with one another on the Internet. This application is developed with proper architecture for future enhancement. It can be deployed in all private organizations like Colleges, IT parks, etc. |
| Group ID: | AY21BECSP70508 and AY21BECSP80508 |
| Title: | UNIFY - connecting students |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Pratik Mishra (30) |
| 2) Vaibhav Sharma (49) | |
| 3) Aniket Singh (52) | |
| Abstract: | It is observed that the social networking sites are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. The abundance of easy availability, accessibility and rapid development in social networking websites has proven that the whole world is small and within everyone’s reach. In today’s era we have different social media platforms for various different purposes. For example, we have applications like Facebook, Instagram, twitter which are basically made for online photo, videos sharing and networking purposes. We have application like LinkedIn which is solely made for different corporate working professionals who is looking to advance their career. But we were not able to find any such kind of social networking sites which is completely based on student community. So, we decided to make a social networking website for student community called Unify-connecting students. Considering the potentiality of the social networking sites the application will be allowing the student to interact with a wider audience not within the class but also outside the classroom. User will be coming across the posts in their feed section according to post they had previously viewed or liked, this had done using a recommendation engine. Apart from this their chatting feature is also provided to interact with each other and stay connected. Users can add friends and will be getting friends suggestions within that. We will be going through each and every aspect as we move further. |
| Group ID: | AY21BECSP70509 and AY21BECSP80509 |
| Title: | ARAV (Virtual Assistance) |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rahul Mishra (31) |
| 2) Ganpat Choudhary (08) | |
| 3) Yash Nayak (35) | |
| Abstract: | An AI assistant or a Virtual assistant are the programs made by humans to make their task easier, it can be in the form of a chat bot where you can simply ask questions or you can command any task to it (for example - to save a file in the specified directory), it is going to complete it. Isn't it a miracle you are talking to a computer just like a human and also it understands you, we have used python standard libraries, NLP wordnet, and Tkinter for user interface, the main objective of this project is learning about the various disciplines of AI and ML. |
| Group ID: | AY21BECSP70510 and AY21BECSP80510 |
| Title: | HomeChef - Recipe Search and Recommendation System |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shagun Mishra (32) |
| 2) Falguni Mohite (33) | |
| 3) Gauravi Sharma (46) | |
| Abstract: | This project aims to develop a recipe search and recommender system that can give recipes from different cuisines when provided with the image of the dish, the name of the dish, or ingredients used as input. The system has the feature of giving a caloric value to the several ingredients used in the recipe for preparing the dish. Users can publish his/her recipes and can view them that have been published by other users. The system aims to promote the healthy aspects by keeping the nutritional value in consideration. It can also be helpful for cooking enthusiasts as a social media appreciation curated by them and for them. The application can provide options for getting ingredients online from several websites that will be listed for a specific ingredient. It clearly promotes the food industry and its growth by allowing people to explore different cuisines and trying new dishes. |
| Group ID: | AY21BECSP70511 and AY21BECSP80511 |
| Title: | Online Quiz Examination with Automatic Supervisor |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Pal Aniket Gopal (36) |
| 2) Rajbhar Mridul Dinesh (38) | |
| 3) Gaud Hritik Jokhanram (14) | |
| Abstract: | Massive open online courses (MOOCs) and other forms of remote education continue to increase in popularity and reach. The ability to efficiently proctor remote online examinations is an important limiting factor to the scalability of this next stage in education. Presently, human proctoring is the most common approach to evaluation, either requiring the test taker to visit an examination center or monitoring them visually and acoustically during exams via a webcam. However, such methods are labor-intensive and costly. In this paper, we present a multimedia analytics system that performs automatic online exam proctoring. The system hardware includes one webcam, one wear cam, and a microphone, for the purpose of monitoring the visual and acoustic environment of the testing location. The system includes six basic components that continuously estimate the key behavior cues: user verification, text detection, voice detection, active window detection, gaze estimation, and phone detection. By combining the continuous estimation components, and applying a temporal sliding window, we design higher-level features to classify whether the test taker is cheating at any moment during the exam. To evaluate our proposed system, we collect multimedia (audio and visual) data from 24 subjects performing various types of cheating while taking online exams. Extensive experimental results demonstrate the accuracy, robustness, and efficiency of our online exam proctoring system. |
| Group ID: | AY21BECSP70512 and AY21BECSP80512 |
| Title: | Docbook – An Online Healthcare Web Application |
| Guide Name: | Dr. Vinayak D Shinde, Associate Professor, CS, SLRTCE |
| Group members: | 1) Nitin Ranganath (39) |
| 2) Unnati Bamania (05) | |
| 3) Yati Sharma (50) | |
| Abstract: | Health is the most vital part of life. If someone doesn't have good health, they can't enjoy their life. Health is not just about having a healthy body; it’s about being mentally sound. Be it the health of the body or of the mind, life is incomplete without it. During COVID-19 times, we have seen that people were not able to contact the doctor because of the lockdown and the spread of the Covid-19 virus. People prefer the online mode for everything right from ordering groceries to conducting online consultations. Hence, we have come up with a digital solution for this problem Docbook is a web-based platform that provides consumers with healthcare services. With an aim to make affordable and quality healthcare accessible to all, we have also made it very convenient for people to access doctors and healthcare providers. |
| Group ID: | AY21BECSP70513 and AY21BECSP80513 |
| Title: | Online Voting System Using Blockchain |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Prateek Sharma (47) |
| 2) Saurav Kumar (23) | |
| 3) Irfan Shaikh (44) | |
| Abstract: | Building a secure electronic voting system that offers the fairness and privacy of current voting schemes, while providing the transparency and flexibility offered by electronic systems has been a challenge for a long time. In this project, we evaluate an application of blockchain as a service to implement distributed electronic voting systems. The project proposes a novel electronic voting system based on blockchain that addresses some of the limitations in existing systems and evaluates some of the popular blockchain frameworks for the purpose of constructing a blockchain-based e-voting system. In particular, we evaluate the potential of distributed ledger technologies through the description of a case study; namely, the process of an election, and the implementation of a blockchain-based application, which improves the security and decreases the cost of hosting any sort of election, however big or small. The project is not restricted in any fashion and is flexible according to the latest needs of the people. It is a product that can revolutionize the functioning of voting and elections. |
| Group ID: | AY21BECSP70514 and AY21BECSP80514 |
| Title: | E-Learning App for Autism Spectrum Disorder |
| Guide Name: | Mrs. Savyasaachi Pandit, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rahul Sharma (48) |
| 2) Kaushal Gupta (16) | |
| Abstract: | Autism spectrum disorder (ASD) is a neurological and developmental disorder that starts early in childhood and goes on throughout a person’s life. We need to provide education to young children who have developed ASD in early childhood stages. These children do not respond naturally, they are always isolated so we need to make them utilize the E-Learning application and make them inclusive in the classroom, help them to develop interest, and to interact with everyone socially. So, we are building an educational application incorporating intra and interpersonal development skills. Through this, we can keep track of their ability and address their uneven progress in specific areas. The proposal of the E-Learning Application will be beneficial for the parents and teachers to understand the changes in the behavior of an ASD child. Along with this we will be implementing Machine Learning algorithms (Classification) such as Random ForestCART3 to make the E-Learning application simpler and then we will be visualizing the data together on a tableau and making an analysis of whether which child suffering from ASD has better grasping power and sustainability to think. It is also evolving such that the complexity will increase as the ASD learners' understanding thought process progresses. This E-Learning application will play a drastic role in changing the daily habitual life of an ASD child. |
| Group ID: | AY21BECSP70515 and AY21BECSP80515 |
| Title: | Land Registry System |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Anjali Singh (53) |
| 2) Ayesha Shaikh (43) | |
| 3) Siddhant Chatterjee (07) | |
| Abstract: | The land registry system is one of the very important departments in any governance system that stores the records of land ownership. There are various issues and loopholes in the existing system that give rise to corruption and disputes. This requires a significant chunk of valuable government resources from judiciary and law enforcement agencies in settling these issues. Blockchain technology has the potential to counter these loopholes and sort out the issues related with land registry systems like the tempering of records, and trading of the same piece of land to more than one buyer. In this project, a secure and reliable framework for land registry systems using blockchain has been proposed. The proposed framework uses the concept of smart contracts at various stages of the land registry and gives an algorithm for pre-agreement. Blockchain is an electronic ledger of digital records, events, or transactions that are hashed cryptographically, authenticated, and controlled through a distributed or shared network of participants using a group consensus protocol. This research aims to design a model for a secure and robust land administration and title registration system based on blockchain technology, which will help in eradicating the weaknesses shown in the current land registration and administration process. Land administration and registration systems with blockchain technology are implemented in Ghana, Estonia, Georgia, and Honduras. Although they are still in their initial stages, there are challenges and strengths which have already been experienced. The challenges in all countries are the lack of awareness of blockchain technology to society and difficulties in the registration of titles which are still in conflict. |
| Group ID: | AY21BECSP70516 and AY21BECSP80516 |
| Title: | Automatic People Counting Solution Using TOF Sensor |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shivam Thaker (58) |
| 2) Aditya Dubey (12) | |
| 3) Nitesh Patel (37) | |
| Abstract: | During the ongoing Covid-19 Pandemic, when we need to operate any public facility like the shopping mall, restaurants, or public dealing organizations, we need to keep the operations going and ensure preventive measures to ascertain their safety. As per all SOPs (Standard Operating Procedures), it is advisable to restrict the number of visitors inside these enclosed spaces, most likely weather-controlled. Automatic safety compliance thus becomes imperative in such situations. Even though absolute compliance and alert signaling will require scrutiny and cross-checking at several levels, a beginning towards automation of compliance monitoring seems mandatory in the neo-normal era. Hence, we have designed a cost-effective, rapidly implementable design to monitor visitors in this project. In this project, we have designed a low-cost, rapidly implementable design to monitor the number of visitors the system will the visitor population at a given time. We are monitoring the optimal population and the density and enforcing visitors. Here we have used Sigma Sensor (Virtually) for Accuracy. There is some commercial solution available for the problem, but all of them are either implemented considering the ideal Situation or need huge cost and infrastructure. The Shop community is passing through a financial crisis as they were closed for visitors due to a pandemic. Hence neither we can afford a costly system nor a system designed with the ideal condition. This problem motivated us to develop a new plan according to our criteria. Here we have modified the available solution for implementation in a real-world environment using minimum hardware infrastructure requirements to work in real-time with maximum efficiency. This system is beneficial for the COVID-19 Situation, but its use can be extended beyond the boundary of museums for visitor density monitoring systems for the large public. |
| Group ID: | AY21BECSP70517 and AY21BECSP80517 |
| Title: | Car Rental System |
| Guide Name: | Mrs. Savyasaachi Pandit, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Neeraj Vishwakarma (71) |
| 2) Harsh Thakkar (59) | |
| 3) Abhishek Tiwari (60) | |
| Abstract: | The car rental system is being developed for customers so that they can book their vehicles from any part of the world. This application takes information from the customers through filling their details. A customer being registered in the website has the facility to book a vehicle which he requires. The proposed system is completely integrated online systems. It automates manual procedure in an effective and efficient way. This automated system facilitates customer and provides to fill up the details according to their requirements. It includes type of vehicle they are trying to hire and location. The purpose of this system is to develop a website for the people who can book their vehicles along with requirements from any part of the world. |
| Group ID: | AY21BECSP70518 and AY21BECSP80518 |
| Title: | Blockchain based Crowdfunding and Blood donation Management with bed availability |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Atul Rasbihari Tiwari (62) |
| 2) Abhash Sumit Tripathi (65) | |
| 3) Vaibhav Prem Saxena (41) | |
| Abstract: | Due to Covid crisis everybody was suffering from 3 major problems i.e., financial aid, blood/plasma donor, bed availability at hospitals. Financial aid can be provided through crowdfunding. Crowdfunding are made on paper that isn't the least bit safe as they might be duplicated or forgery may be done. Even if the agreements are digital, they may be hacked if no security surrounds them. For blood, hospitals are directly dependent on blood banks. That’s why use this web application. This web-application provides three features Crowdfunding through blockchain, Hospital bed availability and blood donation system without being dependent on blood bank. The Crowdfunding part is done through smart contracts with the funding amount being in the smart contract. In hospital bed availability hospitals can register themselves and fill in the details and regularly update information regarding available beds. In Blood Donation hospitals can send notification to the people of required blood type in a particular region given those people are registered on the blood donation system part of the web application Keywords—component, formatting, style, styling, insert (key words). |
| Group ID: | AY21BECSP70519 and AY21BECSP80519 |
| Title: | Blockchain based Crowdfunding and Blood donation Management with bed availability |
| Guide Name: | Mrs. Sampada Watane, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Manish Varma (68) |
| 2) Suyash Vartak (69) | |
| 3) Vedanand Roy (40) | |
| Abstract: | Face detection is implemented using OpenCV’s deep learning-based, supported by a ResNet architecture, for achieving better accuracy than the previously developed models. The result computed by framework libraries of OpenCV, with the support of the above-mentioned hardware, displayed reliable accuracy even with the change in lighting and angle. For face recognition, the approach of deep metric learning using OpenCV, supported by a ResNet-34 architecture, is used. Face emotion recognition is achieved by developing a system in which the areas of eyes and mouth are used to convey the analysis of the information into a merged new image, classifying the image into displaying any of the seven basic facial emotions. A powerful and a low-power platform, Jetson Nano carried out intensive computations of algorithms easily, contributing in high video processing frame. |
| Group ID: | AY21BECSP70520 and AY21BECSP80520 |
| Title: | Automated Plant Identification with CNN |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Vaghasiya Milan Rajesh (67) |
| 2) Viradiya Smit Kamlesh (70) | |
| 3) Yadav Akash Dwarikaprasad (72) | |
| Abstract: | In both botanical taxonomy and computer vision, plant image recognition has become a transdisciplinary priority. We use convolutional deep neural networks to identify the types of plants photographed in the image and to explore various factors that affect the performance of these networks. Determining plant species from field observations requires a large botanical specialist, which puts more than the reach of many nature lovers. Discovery of traditional plants is virtually impossible for the public and is a challenge even for professionals who deal with daily crop problems such as conservationists, farmers, foresters, and architects. Even for botanists themselves, species identification is often a difficult task. This change enhances the accuracy of the model significantly. This model is tested in a leaf set of Flavia leaf sets. The results of the identification phase show that the proposed CNN model is still effective in leaf recognition with an optimal accuracy of more than 88.22%. |
| Group ID: | AY21BECSP70521 and AY21BECSP80521 |
| Title: | Realtime E-Milk Dairy Milk Web Application |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Neha Yadav (73) |
| 2) Ambar Jha (20) | |
| 3) Aaliya Shaikh (42) | |
| Abstract: | Technological evolution has completely changed the entire scenario of the dairy industry. It has uplifted the usage of online Milk delivery services and enabled us to order dairy products in the comfort of our homes, compare prices, and conveniently access these services. These online dairy product delivery services are boosting the option of choosing dairy products from a wide variety with a single tap of our smartphones. Realtime E-milk Dairy web application made by using MongoDB, Express.JS framework, tailwindCss, Node.JS platform, and socket.io. This Realtime E-milk web application lets the users browse and buy milk and dairy products, tracks the milk and its milk products through its delivery path using real-time communication, and delivers quality milk to people at their convenience. This application is fully functional with different views for user and admin and it also has integrated with payment gateway for checkout. By using this application customers can buy different types of milk and dairy products. In this web application, for admin all administrative functions have been developed such as creating a product, create categories, Admin dashboard, Managing products, and managing categories. For customers, they can quickly add their items to the cart. Based on the items in the cart the bill gets generated and the customer can pay by using stripe along with that customer can access the status of the shipping path of the product. |
| Group ID: | AY21BECSP70522 and AY21BECSP80522 |
| Title: | Phonify Webapp Using Webscraping |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sumit Yadav (74) |
| 2) Keyur Kalwar (22) | |
| 3) Prabhat Tripathi (66) | |
| Abstract: | The Internet isn't only a requirement or luxury; it's become a household necessity. Today we can find many websites on the internet selling the same phones at different prices. How can the customer know which site is selling the same product at the cheapest price? This paper shows the way to deal with this problem by creating a Phonify web app, which will help us to extract smartphones from various sites and rank them based on prices using the technique of web scraping. The Phonify Webapp Using Web scraping is being developed for customers so that theycompare Smartphone listed on various E-Commerce sites without visiting each site individually.This application takes information from the customers through Search box and shows different smartphone which user can sort based on price and rating. |
| Group ID: | AY21BECSP70523 and AY21BECSP80523 |
| Title: | Student Web Portal – “Study buddy” |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Yash Yadav (76) |
| 2) Bharat Suthar (57) | |
| 3) Adarsh Singh (51) | |
| Abstract: | The spread of COVID-19 poses a threat to humanity, as this pandemic has forced many global activities to close, including educational activities. To reduce the spread of the virus, education institutions have been forced to switch to e-learning using available educational platforms, despite the challenges facing this sudden transformation. In order to further explore the potentials challenges facing learning activities, the focus of this study is on e-learning from students’ and instructor’s perspectives on using and implementing e-learning systems in a public university during the COVID-19 pandemic. Since most of the academic institutions face difficulty in managing records of student’s attendance accounts, admissions etc. and track of the information of their interest as they still rely on paperwork and manual processes. Web based student web portal system will reduce the manual work by deploying centralized software incorporated with various loosely coupled services which interact with each other to address abovementioned issues and improve the communication between management and the student. |
| Group ID: | AY21BECSP70524 and AY21BECSP80524 |
| Title: | Automatic Android Telecaller App Using REST API |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tiwari Ashutosh Vijay (61) |
| 2) Nagraj Chandrasekhar Lingayati (25) | |
| 3) Ashutosh Ashok Indravati Dube (11) | |
| Abstract: | Android is the most widely used mobile operating system which has been developed by Google. It is being used by various smartphones, such as the Motorola Droid, the Samsung Galaxy, and Google's own Nexus One. Android programs are generally written in Java and run through Google's "Dalvik" virtual machine, which is optimized for mobile devices. Users may download Android "apps" from the online Android Market such as Google Play Store. Call Recorder is an Android-based mobile application for any type of user for general purposes. Its use is to record the phone calls whether calls are incoming or outgoing. This would help for investigation purpose a lot because a user will be recording every call he/she receives or makes. |
| Group ID: | AY21BECSP70525 and AY21BECSP80525 |
| Title: | Pizza Delivery Chatbot |
| Guide Name: | Mrs. Savyasaachi Pandit, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Unez Batliwala (6) |
| 2) Mihir Mhatre (28) | |
| 3) Santosh Gupta (17) | |
| Abstract: | The modern era of technology has a tremendous impact on the society. With the creation of the ultimate virtual assistants, chatbots have become a popular entity in conversational services. Chatbots are software programs that use natural language understanding and processing. Chatbots are not just restricted to help the user to complete his tasks such as booking a movie ticket or finding the nearest restaurant, but they also provide a source of entertainment, play a major role in home automation projects, give business strategy tips, and help in other ways. In this paper, we will provide an insight into what a chatbot is and the types of chatbots. We also propose a classification based on the current market trends, ease of usability, and requirements. |
| Group ID: | AY21BECSP70526 and AY21BECSP80526 |
| Title: | Virtual Mouse Using Hand Gesture |
| Guide Name: | Mrs. Sampada Watane, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Santosh Tiwari (64) |
| 2) Shivam Singh (56) | |
| 3) Krishnakant Singh (54) | |
| Abstract: | Hand Gesture Recognition plays a key role in human-computer interactions. As we can see that there are so many new Technological advancements happening such as biometric authentication which we can see frequently in our smart phones, similarly hand gesture recognition is a modern way of human-computer interaction i.e., we can control our system by showing our hands in front of webcam and hand gesture recognition can be useful for all kinds of people. Nowadays, Computing is not limited to desktops and laptops; it has found its way into mobile devices like palm tops and even cell phones. But what has not changed for the last 50 or so odd years is the input device, the good old QWERTY keyboard. Virtual keyboard uses sensor technology and artificial intelligence to let users work on any surface as if it were a keyboard. This paper develops an application to - visualize the keyboard of computer with the concept of image processing. The virtual keyboard should be accessible and functioning. With the help of camera image of keyboard will be fetched. The typing will be captured by camera, as we type on cardboard simply drawn on paper. Camera will capture finger movement while typing. So basically this is giving the virtual keyboard. This paper also presents a vision based virtual mouse that will take finger co-ordinates as input. The mouse will use our finger for recognition of our mouse. While to develop a system that will work as virtual keyboard i.e. with the help of camera image of keyboard will be fetched. The typing will be captured by camera, as we type on cardboard simply drawn on paper. Camera will capture finger movement while typing. |
| Group ID: | AY20BECSP70501 and AY20BECSP80501 |
| Title: | Online Virtual Exhibition |
| Guide Name: | Mrs. K. Jayamalini, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Digvijay Bind (06) |
| 2) Krishna Pandey (32) | |
| 3) Brijesh Barai (03) | |
| Abstract: | Virtual exhibition center is online exhibition event management software(saas). where organizer can organize their event virtually. In VEP all sector can organize fair and event. Now a day job fair can’t happen physically. Vep company can find better talent to their firm. education fair can we virtual event .in vep companies/firm can book their virtual. In virtual stall brochure, video and website and one to one chat application. For visitor can view everything and chat also. For admin they can view no of visitor, no. of company and revenue. |
| Group ID: | AY20BECSP70502 and AY20BECSP80502 |
| Title: | Designing of Web Portal for Training and Placement Cell |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Shivangi Gupta (14) |
| 2) Jyoti Hingorani (15) | |
| 3) Swati Singh (54) | |
| Abstract: | Design and Development of intelligent web portal for training and placement cell using Machine learning is a web-based application developed for the training and placement department of the college in order to automate the manual activity of training and placement cell. Int the existing system placement officer and other coordinators have to collect student's information for placement activities, then approving those details, etc. Also if any data of the students need to update then students need to give concern to the training and placement cell. Managing this process manually for all the departments across the institute makes it more complicated and tedious. This is a time-consuming process and takes lots of effort as well. There are possibilities of errors as well. The proposed system removes all the drawbacks of existing systems. The system stores all the personal information of the students, like their personal details, their aggregate marks, their skill set, and their technical skills that are required in the CV to be sent to a company. This system can be used as an application for the TPO of the college to manage the student information with regards to placement. Students, TPO, and T&P staff can view student's details, but it can be modified only by the student with an authorized service. The system allows TPO to filter out eligible students as per some criteria for a particular company. Using this application TPO can notify students if some placement activities arise. The system also consists of a module that will help TPO to get a detailed analysis of past years placement records. It also consists of a prediction system that will predict whether a student will get placed or not as per their skill sets. This system also consists of a module where students can find relevant study materials for their placements. Also, mock interviews can be conducted through video conferencing using this application. |
| Group ID: | AY20BECSP70503 and AY20BECSP80503 |
| Title: | Improved Video Conferencing Websystem. |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Guruprasad Hiremath (16) |
| 2) Pankaj Naik (28) | |
| 3) Ashish Vishwakarma (62) | |
| Abstract: | The tremendous development in the means of communication has effectively contributed to reducing travel effort and mobility between different areas of the meeting, educational, health, etc. The aim of the study is to create a video conferencing system using (WebRTC) technology. Our findings after designing the web-based improved video conference system users can create a video conference or join an existing video conference. They can also record and keep this conference, share files, take attendance, share desktop and chat with conference members. Video conferences contribute to the preparation and advancement of our country like other developed countries. The study recommended a set of recommendations: completing the web site by linking it to the cloud storage and connecting it to the billing system, integrate it with social media. The result we will get as a communications platform that supported all types of communications including video, audio, chat, email, file sharing, and screen sharing. It could be accessed from a native application installed on the computer or from a browser client. It has a user-friendly dashboard (very similar to Skype) that has buttons (links) in an email signature, website, or business application. It was designed it to be easy and intuitive for everyone. As newer functionalities and features were added to the product increasing its universal appeal. |
| Group ID: | AY20BECSP70504 and AY20BECSP80504 |
| Title: | Alumni Tracking System |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sandhya Gaud (11) |
| 2) Shashank Jaiswal (17) | |
| 3) Shaifali Ansari (70) | |
| Abstract: | Maintaining the data history of the students is a typical functionality in any institution. It is always an added advantage to have an automated, Organization-specific data management system. Unlike other online solutions for alumni data management which either focuses on data management or communication, this system focuses on both data management and communication. The proposed system provides an optimized solution for collecting and managing the alumni data. The system targets a wide range of audience since it is a web application. The system will be an all-in-one place to handle alumni data, to enable communication between alumni and the institution and provides great flexible features to keep track of the data. It will enable quick and easy communication through the built-in forum where the user can share or post information and privacy can be achieved through private chat facility. The user can update their information by simply filling out forms and uploading their file. Admin gets the privilege of viewing the weekly, batch wise, location based and role based reports. One more advantage of the proposed system is that, generally alumni forum will be managed by group of alumni which would be an overhead to them, this system is automated hence does not require maintenance effort from the alumni side. |
| Group ID: | AY20BECSP70505 and AY20BECSP80505 |
| Title: | Intelligent System Design and Development |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tarun Chaudhary (07) |
| 2) Siddharth Jaiswar (18) | |
| 3) Kartavya Jani (19) | |
| Abstract: | Facial detection has recently attracted increasing interest due to the multitude of applications that result from it. In this context, we have used methods based on machine learning that allows a machine to evolve through a learning process, and to perform tasks that are difficult or impossible to fill by more conventional algorithmic means. In this work we propose a Live Attendance Marking System for institutional purpose. This system will enable the department to mark the attendance of students automatically by recognizing their faces. The system is based on the face detection and recognition algorithms and automatically recognizes a student whenever he/she comes across the camera module. Further after the recognition it automatically updates his/her attendance in the database. The basic architecture and all the algorithms used in the model are described in the paper elaborately. Moreover in order to evaluate and enhance the performance of the system many of the filter functions are used which provide the capability to capture and recognize the images even in dull and low light places. This paper also suggests the technique to ensure that a student can mark the attendance only once in a day. The live attendance system is much more efficient to traditional attendance systems both in saving time and in maintaining the database. The main objective of this project is to offer system that simplify and automate the process of recording and tracking students attendance through face recognition technology. It is biometric technology to identify or verify a person from a digital image or surveillance video. |
| Group ID: | AY20BECSP70506 and AY20BECSP80506 |
| Title: | Automated Fake News Detection Using Stance Detection |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Bhanu Joshi (21) |
| 2) Sarah Vejlani (59) | |
| 3) Siddhant Dubey (10) | |
| Abstract: | Society and individuals are negatively influenced both politically and socially by the widespread increase of fake news either way generated by humans or machines. In the era of social networks, the quick rotation of news makes it challenging to evaluate its reliability promptly. Therefore, automated fake news detection tools have become a crucial requirement. To address the aforementioned issue, a hybrid Neural Network architecture, that combines the capabilities of CNN and LSTM, is used with two different dimensionality reduction approaches, Principle Component Analysis (PCA) and Chi-Square. We will use dataset from the Fake News Challenges (FNC) website which has four types of stances: agree, disagree, discuss, and unrelated. The motivation of this research is to determine the relative stance of a news article towards its headline. |
| Group ID: | AY20BECSP70507 and AY20BECSP80507 |
| Title: | Attendance and Information System Using RFID and Web-Based Application for Academic Sector |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Dharmik Joshi (22) |
| 2) Dhruv Pualsa (35) | |
| 3) Reetika Satelkar (41) | |
| Abstract: | This project describes the development of a student attendance system based on Near Field Communication (NFC) technology. The existing conventional attendance system requires students to manually sign the attendance sheet every time they attend a class. As common as it seems, such system lacks of automation, where a number of problems may arise. This include the time unnecessarily consumed by the students to find and sign their name on the attendance sheet, some students may mistakenly or purposely signed another student’s name and the attendance sheet may got lost. Having a system that can automatically capture student’s attendance by flashing their student card at the NFC reader can really save all the mentioned troubles. This is the main motive of our system and in addition having an online system accessible anywhere and anytime can greatly help the lecturers to keep track of their students’ attendance. Looking at a bigger picture, deploying the system throughout the academic faculty will benefit the academic management as students’ attendance to classes is one of the key factor in improving the quality of teaching and monitoring their students’ performance. Besides, this system provides valuable online facilities for easy record maintenance offered not only to lecturers but also to related academic management staffs especially for the purpose of Students progress monitoring. |
| Group ID: | AY20BECSP70508 and AY20BECSP80508 |
| Title: | Speech Emotion Recognition |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sayam Bagrecha (01) |
| 2) Karan Gupta (13) | |
| 3) Amit Kumar Mishra (26) | |
| Abstract: | Recognizing the emotions from the speech is essential for a natural connection between man and machine. In speech emotion recognition, emotional state of a speaker is extracted from his or her speech. A speech emotion recognition system is made to detect the emotion through the audio speech signals. The efficiency of emotion recognition system depends on type of features extracted and classifier used for detection of emotions. In this paper we have taken the audio features of MFCC, MEL, and Chroma. To recognize the emotion of speaker like sad, neutral, happy, angry. With the model proposed of MLP classifier we have achieved accuracy of 78% approximately. |
| Group ID: | AY20BECSP70509 and AY20BECSP80509 |
| Title: | Exam Cell Automation System and Mock Test Generator |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Jyoti Navik (29) |
| 2) Supriya Saini (39) | |
| 3) Akshay Sawant (72) | |
| Abstract: | Performance Analysis System using Web based Solution for MCQ type Online Examination is an effective solution for the college or institute to computerize the traditional way of conducting exams and to simplify conducting examination and generation of result. The project aims to bring in a centralized system that will ensure the activities in the context of an examination that can be effectively managed. This system allows Students and Faculty to enroll themselves into the system by registering and by providing their name, mobile number, email id, password, etc. System is not bounded to one branch. It facilitates the access to examination information of a particular student. The information is stored into the database, which will be provided by the teacher for a respective student. An automated system will do all above stated works in just few clicks. Here the admin updates the Student details and Faculty details or can add or delete them, all the TEST’s are either created or managed by both the admin and teacher login terminal. This system is build using various open source technologies i.e. CSS, JAVASCRIPT, PHP and MYSQL is used to create database. The progress report of a particular exam is stored in the students individual account which can be accessed by all the three entities (admin, teacher & student). |
| Group ID: | AY20BECSP70510 and AY20BECSP80510 |
| Title: | Researching & Implementing Blockchain Technology. |
| Guide Name: | Mrs. K. Jayamalini, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Abhishek Pandey (31) |
| 2) Shreeya Sharma (46) | |
| 3) Yash Bhalani (04) | |
| Abstract: | Nowadays where everything is digitalized, we need to keep that digital data secured and authenticated too. With growing technology, the fraudulent activities are also growing. Even in the field of operations (supply chain management) of any goods; everything is done through digital means. To curb cyber frauds & digital frauds there are many technologies. One such technology called ‘Blockchain’ is currently booming in world because of its various features. We will see further in this paper that how blockchain technology is used in vehicle registration process and how it maintains its data and activities in a more secured and efficient manner. There are various entities related to the motor vehicles such as manufacturer, dealer, buyer, registration authority, insurance company. According to the norms, all the entities must collaborate for the successful registration of the vehicles. However, current system might get encountered with rrors due to input of wrong or incomplete information and some other consequences such as data manipulation which might be a threat to the system. The vehicle registration process is maintained by Regional Transport Office (RTO). RTO also maintains collection of road tax, license, emission certificate, no objection certificate. Maintaining process related to vehicles by the conventional method might obscure the path of making a system more reliable and complete. The current system faces the problem of fraud detection i.e., if a fraud occurred, it is difficult to trace back as different entities such as manufacturer, dealer, RTO, and insurance company works in their own terms. By bringing blockchain technology into the scenario helps us to get a more reliable solution as blockchain technology being a distributed ledger technology and being more promising in data security and privacy helps for carving a more reliable and efficient system. By the means of the proposed paper, it is an approach to solve problems underlying in the vehicle registration system and bind all the different agencies related to vehicles under one portal and get them connected through blockchain technology. Binding them under one portal will make system more reliable as all of them would be in the chain and with blockchain every transaction log along with the timestamp would be available. |
| Group ID: | AY20BECSP70511 and AY20BECSP80511 |
| Title: | PC Component Listing and Recommendation System |
| Guide Name: | Mrs. Neelam Phadnis, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rahul Pandit (34) |
| 2) Shreyas Bane (2) | |
| 3) Someshkumar Mishra (27) | |
| Abstract: | Recommendation Systems are created to recommend appropriate products to users from a collection of products with various complex attributes. Personal Computers have an assortment of components that vary in compatibility with each other. Due to the large number of possible configurations and parameters to consider, it is difficult for laymen to try making their configurations. It is also difficult to compare which components are similar to each other. This project presents a recommendation system for these components using collaborative filtering and a Web App which allows users to create their own configurations. |
| Group ID: | AY20BECSP70512 and AY20BECSP80512 |
| Title: | Weather Monitoring System for Farmers Using IoT |
| Guide Name: | Mrs. K. Jayamalini, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Tarun Rai (36) |
| 2) Sumeet Rane (38) | |
| 3) Atharva Padwankar (30) | |
| Abstract: | Weather plays a very important role in farming. It has an extreme influence on crop growth, yield, the impact of pests/diseases, development, water needs, and fertilizer requirements. For mass production, a farming system requires timely monitoring of environmental conditions such as temperature, pressure, rainfall detection, soil moisture, etc. The Weather Monitoring System can be designed based on IOT by using the ESP8266 Microcontroller. The system proposed in this paper is an advanced solution for monitoring the weather conditions at a particular place and make the information visible anywhere in the world. The technology behind this is Internet of Things (IoT), which is an advanced and efficient solution for connecting the things to the internet and to connect the entire world of things in a network. Here things might be whatever like electronic gadgets, sensors and automotive electronic equipment. The system deals with monitoring and controlling the environmental conditions like temperature, relative humidity and CO level with sensors and sends the information to the web page and then plot the sensor data as graphical statistics. The data updated from the implemented system can be accessible in the internet from anywhere in the world. |
| Group ID: | AY20BECSP70513 and AY20BECSP80513 |
| Title: | Sports Event Management System. |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Anushree Rane (37) |
| 2) Roshani Salunkhe (40) | |
| 3) Shama Shaikh (44) | |
| Abstract: | This project is focused on online scheduling and management of sports events which is developed with help of the MVC design pattern. In existing system, participants had to register offline for an event also the event organizers used to manage and schedule sports events on paper. As common as it seems, such system lacks automation, where several problems may arise. This includes the time necessarily consumed by the event organizer to schedule and manage sports events on paper due to which there is risk of losing data. Having a system that can manage and schedule sports events online can really solve all the mentioned problems above. This was the main motive of our system. This online system is accessible anywhere and anytime to keep track of participants, events details. |
| Group ID: | AY20BECSP70514 and AY20BECSP80514 |
| Title: | Handwritten English Word Recognition |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Vishakha Satpute (42) |
| 2) Nikita Dane (09) | |
| 3) Sonali Mamidipaka (23) | |
| Abstract: | Character recognition is one in all the emerging fields within the computer vision. The most abilities of humans are they will recognize any object or thing. The hand transcription can easily be identified by humans. Different handwritings have different patterns to spot. Humans can identify the text accurately but the hand transcription cannot be identified by the machine. It's difficult to spot the text by the system. During this Handwritten English Word Recognition, we process the input image, extraction of features, and classification schema takes place, training of the system to acknowledge the text. During this approach, we use Convolutional Neural Network (CNN) with various architectures to train a model that can accurately classify words. For the latter, we use Long Short-Term Memory networks (LSTM) with convolution to construct bounding boxes for each character, the system is trained to seek out the similarities, and also the differences among various handwritten samples. This application takes the image of a hand transcription and converts it into a digital text. |
| Group ID: | AY20BECSP70515 and AY20BECSP80515 |
| Title: | Application and Website for Farmers to Sell the Produce at a Better Rate |
| Guide Name: | Mrs. Dipali Bhole, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Ayub Sayyed (43) |
| 2) Kritika Sharma (45) | |
| 3) Kush Mandal (24) | |
| Abstract: | Farming is the Prime Occupation in India in spite of this, today the people involved in farming belongs to the lower class and is in deep poverty. The Advanced techniques and the Automated machines which are leading the world to new heights, is been lagging when it is concerned to farming, either the lack of awareness of the advanced facilities or the unavailability leads to the poverty in farming. Even after all the hard work and the production done by the farmers, in today‘s market the farmers are cheated by the Agents, leading to the poverty. This application would make all the things automatic which make easier serving as a best solution to all the problems. Farmer‘s e-Market will serve as a way for the farmers to sell their products across the country just with some basic knowledge about how to use the website. The site will guide the farmers in all the aspects. |
| Group ID: | AY20BECSP70516 and AY20BECSP80516 |
| Title: | USA University Recommendation System |
| Guide Name: | Mrs. Ragini Mishra, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sakshi Shetty (48) |
| 2) Prishita Shrivas (49) | |
| 3) Aditi Bhonsle (05) | |
| Abstract: | Recommendation system has become an important part of today’s world. The recommendation system is spread over by large sectors like education, entertainment, health, business, etc. It is also begin used by big companies like Amazon, Flipkart, Netflix, Linkedin, etc. In this paper, we have presented a recommender system for undergraduate & graduate admission seekers based on their GRE, TOFEL, SAT scores, which can help students to choose the best graduate university matching their academic profile. Here we have developed different data mining techniques to transform a database of students of relevant information into a universal database format using academic data of successful students who have already got the opportunity to study abroad. After that, we have developed a machine-learning algorithm that can calculate the similarity between training and test data based on weighted scores using mean squared deviation similarity metrics. The weighted scores are calculated from prior information of successful applicants such as undergrad CGPA, GRE, TOEFL Scores etc. which is in the universal database. We have used the K-nearest Neighbor algorithm and feature-weighted algorithm for calculating top N similar users for the test users and recommend Top K universities to users from N similar users. In this research, we explore the flow, types, and uses of recommendation systems in education. |
| Group ID: | AY20BECSP70517 and AY20BECSP80517 |
| Title: | A Crud Representational State Transfer (Restful) Based Application Programming Interface (API) to Incorporate All of Educational Training Institutes' Directory Worldwide On a Single Platform. |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rishabh Yadav (66) |
| 2) Abhishek Shukla (50) | |
| Abstract: | We are building an API based on RESTful conventions to construct a system wherein all the information regarding different educational training institutions directory can be curated onto. This allows owners to exhibit their institute on our platform as well as allows users to gain information regarding tons of institutes across the globe at a single click based on their filtering criteria. This being an API is always scalable and dynamic in nature which makes it easier for developers to add features in future and it will allow other developers to use our API as their dedicated backend, compared to they themselves setting it up from scratch, guided by our in-depth documentation, which would contribute immensely to the developer’s community. |
| Group ID: | AY20BECSP70518 and AY20BECSP80518 |
| Title: | A System of Automated Resume Evaluation Using NLP & Ml |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Sheetal Singh (53) |
| 2) Tejas Shasane (47) | |
| 3) Deepa Yadav (64) | |
| Abstract: | Recruiting candidates to fit a particular job profile is a task crucial to most of the companies. Due to increasing growth in online recruitment, traditional hiring methods are becoming inefficient. The conventional techniques usually include a labor- intensive process of manually searching through the applied candidates, reviewing their resumes, and then producing a shortlist of suitable candidates to be interviewed. In this era of technology, job searching has become smarter and more accessible at the same time. The companies receive enormous numbers of resumes/CVs, which are not always structured. There have been lots of work done for the job searching process. Whereas, the process of selecting a candidate based on their resume has not been entirely automated. Thisresearch proposes a model of extracting valuable information from the resume and ranking it according to the preference and requirement of the company. To achieve the desired goal, the entire process has been divided into three segments. The first segment consists of converting the unstructured resumes in structured data using NLP, and the second segment consists of the extraction phase, where the relevant information is extracted from the resume and giving them an identifier value. Finally, based on the values assigned, the resumes are ranked accordingly in the final segment. |
| Group ID: | AY20BECSP70519 and AY20BECSP80519 |
| Title: | News Aggregator: A Single Source for All Your Favourite News Portal |
| Guide Name: | Mrs. Aabha Patil, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Dilip Suthar (56) |
| 2) Rishabh Kumar Pandey (33) | |
| 3) Ajit Kumar Trivedi (57) | |
| Abstract: | The goal of the bachelor thesis is to research and develop a news aggregation and validation system. In order to do so research on related work and literature is conducted, allowing to create a base for the following points of discussion. Here the focus is on researching properties of the user interface and methods of news verification. After the researched elements are used in order to specify and conceptualize the platform and its design. Moreover it is concluded which method regarding news verification is used. Next the realization of and implementation of the news aggregator and news verifier are discussed. Here each step is discussed individually that is necessary to realize and complete the project. Finally an evaluation takes place which incorporates the creation of three scenarios, a survey, and usability testing. The results show that the system in general is perceived positively. However the feedback shows as well that a more detailed focused approach can enhance the total experience. |
| Group ID: | AY20BECSP70520 and AY20BECSP80520 |
| Title: | Social Distancing Detector |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Isha Gupta (12) |
| 2) Shivang Srivastava (55) | |
| 3) Gaurav Upadhyay (58) | |
| Abstract: | The rampant corona virus disease 2019 (COVID-19) has brought global crisis with its deadly spread to more than 180 countries, and about 3,519,901 confirmed cases along with 247,630 deaths globally as on May 4, 2020. The absence of any active therapeutic agents and the lack of immunity against COVID-19 increases the vulnerability of the population. Since there are no vaccines available, social distancing is the only feasible approach to fight against this pandemic. Motivated by this notion, we propose a deep learning based framework for automating the task of monitoring social distancing using surveillance video. The proposed framework utilizes the YOLO v3 object detection model to segregate humans from the background and deep-sort approach to track the identified people with the help of bounding boxes and assigned IDs. The results of the YOLO v3 model are further compared with other popular state-of-the-art models, e.g. faster region-based CNN (convolution neural network) and single shot detector (SSD) in terms of mean average precision (mAP), frames per second (FPS) and loss values defined by object classification and localization. Later, the pairwise vectorized L2 norm is computed based on the three-dimensional feature space obtained by using the centroid coordinates and dimensions of the bounding box. The violation index term is proposed to limit the non-adoption of social distancing protocol. From the experimental analysis, it is observed that the YOLO v3 with deep-sort tracking scheme displays best results with balanced mAP and FPS score to monitor the social distancing in real-time. |
| Group ID: | AY20BECSP70521 and AY20BECSP80521 |
| Title: | Virtual Assistant for Blind People |
| Guide Name: | Mrs. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Avanish Yadav (63) |
| 2) Deepak Singh (51) | |
| 3) Sanket Verma (60) | |
| Abstract: | This paper describes the approach to develop a personal assistant that reduces the utilization of input devices like keyboard and mouse on our PC (Personal Computer). Giving commands via speech makes it user friendly. This paper describes the representation model, along with the implementation of this system. Details about the addition of new commands and additional feature of remote access that makes it different from others are also mentioned. A virtual assistant is a software agent that can perform tasks or services for an individual. Sometimes the term “chatbot” is used to refer to virtual assistants generally or specifically those accessed by online chat. This paper also describes challenges of applying virtual Assistant technology. |
| Group ID: | AY20BECSP70522 and AY20BECSP80522 |
| Title: | Smart Measurement of Marketing Activities Using Machine Learning Algorithms |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Avanish Yadav (63) |
| 2) Deepak Singh (51) | |
| 3) Sanket Verma (60) | |
| Abstract: | Advertisement is a costly affair, but very seldom serious attempts are made to judge how far it is effective, how many benefits the costs of advertisement yield, how the benefits, if any, are related to advertisement and so as. Measurement is the key to optimizing any process, and marketing campaigns are no exception. When you establish and measure key performance indicators (KPIs) for your marketing campaigns, you can clearly see what works and what does not. You can then direct your marketing resources toward the most effective campaigns to achieve marketing success. Till recently, the effectiveness of advertisement has been measured in relation to sales. We now design and develop a system that helps to measure the effectiveness of the marketing activities. We use techniques and algorithms like PCA (Principle component Analysis), DA (Dominant Analysis) and machine learning Algorithms like RF (Random Forest Regression), to analyze the data related to marketing activities and build a prediction model that will predict the effectiveness of the activity. Here are some of the common KPIs we will use in our model to measure for each of campaigns, regardless of the type, channel or medium Return on Investment (ROI), Cost per Win (Sale), Cost per Lead, Conversion Rate (or Goal Completion Rate), Incremental Sales. With the help of sufficient and correct data of the activities organized by the company and efficient algorithm, we can design a model that provide the right measure of effectiveness for these activities. |
| Group ID: | AY20BECSP70523 and AY20BECSP80523 |
| Title: | Stock Analysis App (Stock Rubicon) |
| Guide Name: | Mr. Rajesh Gaikwad, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Rakhi Yadav (65) |
| 2) Shubham Yadav (68) | |
| Abstract: | Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them as they have a number of variables involved. In the short term, they behave like a voting machine but in the long term, it acts like a weighing machine and Hence there is scope for predicting the market movements for a longer timeframe. In recent years, many companies have successfully used ml and various in-house and other algorithms to predict market trends. In this project, we are applying various time-series algorithms like Arima, LSTM, etc to successfully make predictions for future stock market trends. We first analyze the data and find trends and relations between them and see if they are suitable for predictions. We have also made an suitable API to make use in any user interface available. For this project we will demonstrate our predictions using android or web interface.The algorithms used show promising results for analyzing different time-series data. |
| Group ID: | AY20BECSP70524 and AY20BECSP80524 |
| Title: | Mask Detection Using IoT and Cloud Computing |
| Guide Name: | Mr. Pravin Jangid, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Suraj Yadav (69) |
| 2) Sachin Mange (25) | |
| 3) Aakash Vishwakarma (61) | |
| Abstract: | The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing face masks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images, we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal is to identify whether the person on image/video stream is wearing a face mask or not with the help of computer vision and deep learning. |
| Group ID: | AY20BECSP70525 and AY20BECSP80525 |
| Title: | Music Genre Classification |
| Guide Name: | Ms. Uma Goradiya, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Ronak Shukla (71) |
| 2) Nitesh Jha (20) | |
| Abstract: | Recent studies confirm that humans respond and react to music and that music has a high impact on person’s brain activity. The average Indian listens up to two hours of music every day. People tend to listen to music based on their mood and interests. This project focuses on creating an application to suggest songs for user based on their mood by capturing facial expressions. Facial expression is a form of nonverbal communication. Computer vision is an interdisciplinary field that helps convey a high-level understanding of digital images or videos to computers. In this system, computer vision components are used to determine the user’s mood through facial expressions. Once the mood is recognized, the system suggests a play-list for that mood, saving a lot of time for a user over selecting and playing songs manually. Mood-Based Music Player also keeps track of user’s details like number of plays for each song, sorts songs based on category and interest level, and reorganizes the play-list every time. The system also notifies user about the songs that are never played so that they can be deleted or modified. |
| Group ID: | AY20BECSP70526 and AY20BECSP80526 |
| Title: | Co-Operative Housing Society Management System Using Android |
| Guide Name: | Dr. Vinayak Shinde, Assistant Professor, CS, SLRTCE |
| Group members: | 1) Vikas Pandey (73) |
| 2) Swapnil Kadlag (74) | |
| 3) Jaideep Dave (75) | |
| Abstract: | The implementation of Android Application for housing society management. Daily life in city areas has important things to deal with housing society management. Our day to day needs such as Water supply, Electricity, Security and many more things which directly or indirectly plays vital role in residential life, comes under Housing Society Management. In most of the cases, Society management practices a traditional way of communication. This certainly has some limitations and disadvantages. Daily notices, monthly meetings, cultural events, miscellaneous contacts for daily needs, security alerts, high priority communication and many others which may not be conveyed properly in current scenario as most of the things are getting handled manually. It lacks transparency. To overcome the problems occurring due to this time lagging manual system, an automated system needs to be developed. Daily life in city areas has important things to deal with housing society management. Our day to day needs such as Water supply, Electricity, Security and many more things which directly or indirectly plays the vital role in residential life, comes under Housing Society Management. In most of the cases, Society management practices a traditional way of communication. This certainly has some limitations and disadvantages. Daily notices, monthly meetings, cultural events, miscellaneous contacts for daily needs, security alerts, high priority communication and many others which may not be conveyed properly in current scenario as most of the things are getting handled manually. It lacks transparency. To overcome the problems occurring due to this time lagging manual system, an automated system needs to be developed to reduce the human efforts. |
| Title | Co-operative Housing Society |
| Guide Name | Prof. Vinayak D. Shinde |
| Group Members | 1.Hemant Bhojane [01] 2.Babalu Yadav[64] |
| Abstract | “Simplicity is the ultimate sophistication”. Co-operative housing society management system exactly follows this phrase and aims at making the current situation in the society simple and efficient. Society management system reduces the conflicts that arise within the society by providing facilities such as online voting system, online hall allocation, etc. It automates certain attributes that occur within the society and makes it easy for the members of the society an easy access to society happening and on goings. Society affairs management aims at simplifying and managing the different affairs in your society. A society is the well-formed committee in the building or a particular area. The application revolutionizes the way people deal with the affairs and issues of the society. This leads to ease of handling even complicated matters. Planning of meeting, discussion of issues, doubts regarding society law, communication with each other, group discussion is possible using this application. |
| Title | Implementation of Forecast Mechanism Using Dynamic Data |
| Guide Name | Prof. Ravi Prakash |
| Group Members |
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| Abstract | With billions of followers all around the world, cricket enthusiastic use the internet for variety of reasons to stay updated with the latest happenings in the data mining will be performed using “Datascope”.The project involve fundamental 3 types of analyses – generation of association rules, performing clustering and generation of decision trees. The application is built using Weka Data mining tool. The statistics for different players are retrieved periodically from howstat.com. The project will give us a hands-on experience in analyzing huge masses of data and will actually teach us the values of data mining. |
| Title | Partial Face Recognition For Criminal Investigation |
| Guide Name | Prof. Ravi Prakash |
| Group Members |
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| Abstract | Over the past two decades, a number of face recognition methods have been proposed in the literature. Most of them use holistic face images to recognize people. However, human faces are easily occluded by other objects in many real-world scenarios and we have to recognize the person of interest from his/her partial faces. In this paper, we propose a new partial face recognition approach by using feature set matching, which is able to align partial face patches to holistic gallery face automatically and in robust to occlusions and illumination changes. Given each gallery image and probe face patch, we first detect key points and extract their local features. Then, we propose a Metric Learned Extended Robust Point Matching (MLERPM) method to discriminatively method local features sets of a pair of gallery and probe samples. Lastly, the similarity of two faces is converted as the distance between two features sets. Experimental results on three public face database are presented to show the effectiveness of the proposed approach. |
| Title | Customization Using Web Services |
| Guide Name | Prof. Pravin Jangid |
| Group Members |
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| Abstract | Now a day’s Customer Relation Management has become very important factor in defining the enterprise growth because of economic globalization and rapid development in e-commerce. Today’s world enterprise uses the context data mining tool to extract the very critical information that can help in strategic decision making by the managerial decision maker. The idea that the context is important when predicating customer behavior has been maintained by scholars in marketing and data mining that context does matter when modeling the behavior of individual customers and that it is possible to infer the context from the existing data with reasonable accuracy in certain cases. In this, we study how important the contextual information is when predicting customer behavior, decreasing the costs of gathering contextual information and how to use the application of Data Mining method in Customer Relation such as Classification, Clustering, Association mining, Prediction and Correlation. When building customer models. These findings have significant implications for data miners and marketers. |
| Title | Policy Agent |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Today mobile is an essential tool; a mode of communication which is prevalent in every section of the society. Our objective is to utilize mobile as tool to facilitate an efficient, convenient and quick mode of electronic collection primarily through a Mobile based solution. The process of MI is to map the targeted customers with the help of its MI(micro insurance) collection agent. The individual who goes and collects money from the customers. The MI agents meets the target customer and initializes the collection process by invoking the Micro Insurance App through his mobile device. The MI Agent authenticates himself by entering his username and password and policy number as well as mobile number of the customer. Based on the policy number, the MI Agent’s Mobile application collects the outstanding amount, Name of the policy etc. from the IC-MI MI server and displays the same on the MI Agent’s Mobile. The MI agent verifies /communicates the Name/Policy details etc. to the customer. The customer pays the amount as per policy guideline amount to MI agent. The information with the Customer’s Policy Number and amount collected is sent to the MI Server. The MI agent and the customer receive a message on successful payment made. The following receipt is generated for the MI Agent and the customer. |
| Title | Centralized Wireless Home Automation System |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | The theme of this project is to have centralize control of the home, housework or household activity on one command of your smartphones through app and hardware switches. These are products which facilitates such wireless switches. One of them is Belkin, which is more emphasizing on hardware use and has many disadvantages in their software part or smart phones applications, which are reflected in reviews of their apps. Our project has the capability to overcome these disadvantages and also, increase the user friendliness of it with additional features. Unique features of our project are electricity consumption chart and graph, feedback from electrical components back to smart phone (most unique), Artificial Intelligence. The project is based on establishing dynamic Bluetooth connection on switches, electrical devices and on the smart phone and with apk app. Bluetooth connected Arduino switches components and microprocessor for feedback purpose from device with some LED light indication. Application of this project can be used at commercial as well as Institutional level. It is one of the software which can be used on daily basis in home and colleges in order to cut down the waste use of Electricity consumption and achieving automation. |
| Title | Database Driven Website For Student Recruitment |
| Guide Name | Prof. Uday Naik |
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| Abstract | Training and Placement is the crucial part of any educational institute in which most of the work till now is being done manually. The aim of our project is Automation of Training and Placement unit that will include minimum manual work and maximum optimization, abstraction and security. This is web application which will help students as well as the administration authority to carry out each and every activity in this department. The main objective of this project DATABASE DRIVEN WEBSITE FOR ASSISTANCE IN STUDENT RECRUITMENT is automatic calculation, sorting, updating and maintenance of data i.e. AUTOMATION. The data currently maintained is in the form of access sheets so any one access of these data if the administrator has logged in, we are, going to maintain the privilege access by storing the password in encrypted form that will enhance the security. The data about students is not in optimizing form so while sorting its is not sorted efficiently. Our aim is to maintain data in maximum optimized form. The objective of design is to determine how the problem will be solved. Data elements are grouped to physical data structures, screens, reports, fields and database. Our system will ensure easy and efficient placement options for eligible students as per mentioned criteria of various firms. We also include automatic mailing system for updating eligible students both the different firms and their recruitment details. |
| Title | Credit society transaction system |
| Guide Name | Prof. Kiran Patil |
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| Abstract | We are going to implement the “Credit Society Implement System” for making the manual work automated so there will no need of the paper, the aim of making this is to make the manual work automatic so it will be fast and correct, this automated system will be helpful for the credit society admin, agents and its members. The members will be given an account number with username and password. Whenever members will demand his transaction details it will be available 24×7. Collection agents will also be satisfied with the outcome of this project as the system will be automated. Also the collection agent will be provided with the unique username and password so that they can log in with their own account. |
| Black Book Serial Number | |
| Title | Semantic web semantic search engine |
| Guide Name | Prof. Uday Naik |
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| Abstract | Most of the existing search engines retrieves web pages by means of findings exact keywords. Traditional keyword-base search engines suffer several problems In this project, we develop a Semantic Search Engine. First a fuzzy ontology is constructed by using fuzzy logic to capture the similarities of terms in the in the ontology, which offering appropriate semantic distance between terms to accomplish the semantic search of keywords. The semantic search engine can thus automatically retrieve web pages that contain synonymous or terms similar to keywords. Second, users can check or uncheck the page results based on their needs to show or hide it next time they search for it. The totally satisfactory degree of keywords scan be aggregated based on their degrees of importance and degree of satisfaction. Third, the domain classification of web pages offers users to select the appropriate domain from searching web pages, which exclude web pages in the inappropriate domains to reduce the search space and to improve the search result. |
| Title | Edunet learning system |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Edunate learning channel system is basically a system which aims at creating an E-learning portal for a campus. This allows registered users of the system to join a course available in the site and access the material published for the course. People can join as students of a course or a faculty for a course. There will be an admin approval page where admin can approve the faculty members for the course. The E-learning home page should contain the title of the course and a brief description. There will be a discussion forum for each course where students can interact, an announcement section ,which contain the latest announcements ,and the course content section which give the links for the material available for the course. For faculty member there will be an extra link for uploading the course contents in a zip file format. |
| Title | Location Alarm |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | The idea of using the mobile handsets and phones is to deliver the valuable services. Location based services or LBS refer to a set of applications that exploit the knowledge of the geographical position of a mobile device in order to provide services based on that information. Location based services (LBS) provide the mobile client personalized services according to their current location. They also open a new area of developers, cellular service network operators, and service providers to develop and provide values added services; advising clients of current traffic conditions, providing routine information, helping the users to find nearby shopping malls. Location-based services offers many merits to the mobile clients. For the mobile user, the example of location based services are:
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| Title | Verifying Cryptographic protocols using formal methods |
| Guide Name | Prof. Uday Naik |
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| Abstract | Cryptographic protocols provide secured service sin communication. Methods like model checking and theorem proving are used to verify the correctness of cryptographic protocols. But model checking methods can only check a bounded number of states, and theorem proving methods generally do not find attacks. Our work provide a method of verifying protocols automatically and also finding attacks on protocols automatically if there is one, by using the automated theorem prover SPASS format, and then verify the protocol in SPASS . We also provide a method to figure out the steps of attack from the SPASS output. The advantage of our method are that it is completely automated; we use ordered resolution for efficiency and also equations to model Cryptographic primitives, while differ our methods from other methods. |
| Black Book Serial Number | |
| Title | Dynamic Timetable Generator |
| Guide Name | Prof. Kiran Patil |
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| Abstract | A college timetable is temporal arrangements of sets of lectures and class rooms in which all given constraints are satisfied. Creating such timetable manually is complex and time consuming process. Computer assisted Time table Generator can save a lot of precious time of creator who are The manual system usually involved. The manual system usually ends up with various classes clashes either at same room or same teacher having more than one classes at one time. These are just due common human errors which are very difficult to prevent in such process. To overcome these process people usually taking the previous years’ time table and modifying it but still it is tedious job to incorporate changes. To overcome such problem we propose to a dynamic timetable generator. This project introduces a practical time tabling algorithm a capable of taking care of both strong and weak constraints effectively, used in automated time tabling system. So that teachers and student can view. |
| Title | Enhanced Automated Departmental Management System For Educational Organization |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | World is contracting with the growth of Web Technologies. As the number of users is increasing day by day, facilities are also increasing. We are planning to create a new and an innovative application which can be used by colleges to manage the staff records efficiently. We have usually observed that staff members i.e. the faculties face many problems while managing the student’s records and other academic records. Keeping this basic idea in mind we are going to create an application named as “M.I.S.”. This application will basically have four modules such as Attendance Records, Notice Board, Exam Records, and feedback system etc. Within this modules a faculty will be able to do a lot of more stuff like generating “Defaulter List”, “Issuing notices to students, other junior faculties”, “Managing Exam Records”, “Analysis of Student’s Academics”, Getting feedback from faculties to improve the department working”, “Getting overall Departmental Analysis” etc. This application will reduce a lot of manual task which is done by the teachers usually to calculate attendance and doing all the analysis work. Faculties will get more flexibility to maintain all the records easily. No faculty can do partiality in attendance or exam marks to support nay student as all the records will be under observation by senior faculties like H.O.D. of the department, Vice Principal, Principal etc. The students will also get the flexibility to cross check there record so that if any wrong data found they can use feedback system to get the issue resolved. The “Leave Application” which used to be approved manually before now will be approved through this application, In this case the applicant faculty can view the status if it is approved or not and also the senior staff like H.O.D., Vice Principal and Principal can have a check on the leaves granted and the previous records too. |
| Title | RTO Automation System |
| Guide Name | Prof. Neha Jain |
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| Abstract | RTO Automation System is basically a digital system to overcome the manual task. It is the system which handles the work based on NFC (Near Field Communication). Many modern smart phones and tables have an integrated scanner that can read NFC chips. All one needs to do for driver’s license checks is attach a single low-cost NFC chip to the driver’s license. The NFC chip stores a unique combination of numbers. This ID will read by the smartphones and the NFC to web application with the underlying NFC technology and uniquely associated with the driver’s master data in the web application. We are going to develop a mobile application, database and NFC technology that enables the exchange of data between different devices over distances. In our project, we will use the smartphones equipped with NFC can be paired with NFC Tags or stickers which can be programmed by NFC apps to automate this task. We proposed and describe a secure mobile payment system. Solution for use in a traditional instore environment, which contains the NFC secure element. Communication of NFC, and could replace the use of payment or service specific smart cards. |
| Title | Healthy Diet Recommendation System |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | “An ounce of prevention is worth a pound of cure. A survey of medical study reveals that people set bigger possibilities of countering free radicals and preventing illness by consuming healthy foods and increasing their immunity. People suffer from multiple diseases due to poor eating habits. In the current scenario, fast food has become an important part of the daily routine as it’s easily available but consumption of these fast food may increase the risk of disease like Heart attack, diabetes and obesity as well. Healthier diet helps us to maintain our health and also keeps as away from many fatal disease. For better recovery from diseases or surgeries an individual might have special needs per their medical profile, cultural background and the nutrient requirements. Existing system provides with a generalized diet charts for the clients. These diet charts do not consider the specification of the clients or medical issues. They just give generalized chart that everyone can follow. In this system the client will first update their health and medical issues. Only after the health and medical profile is updated and diet will be suggested to the client as per the requirements. Also the diet keeps us changing as the medical profile gets updated. Reviews will be taken from the users to keep the diet chart up to date. The system will make use of ID3 and C4.5 fro generation of diet charts. The Decision Tree Algorithm will be used for altering and updating te charts based on Clients reviews. |
| Title | Self Growth |
| Guide Name | Prof. Neha Jain |
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| Abstract | Self-growth is an Android application which has all the information regarding the undergraduate courses, the idea behind this project is to give awareness to each and every student about their destiny early on. It has a forum section where the users having this application can interact with each other and can ask doubt regarding any question where the admin will reply with appropriate suggestion or solution. We are going to implement this project for making the career counselling for undergraduate very easy. The aim for developing an android application is that any common man can use this application via data connectivity i.e. Internet as maximum people use android phones. The user opens the application where he or she can enter into any of the cluster of internet and can get ample of information on the dedicated courses which are stored in the database moreover there is an interactive section where user can ask any questions and the doubt can be solved by the admin by fiving the appropriate solution to the users questions. |
| Title | Fast Air Connect |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Theme of project: The theme of this project is to have wireless transmission of data across laptops and Android smart phones at a speed much higher than Bluetooth.
Existing Technology: There are rarely any product which facilities such wireless transmission. One of them is Super Beam, which is not feasible to use and has many disadvantages. Our project has the capacity to overcome these disadvantages and also, increase the user friendliness of it.
Disadvantages of Super Beam:
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| Title | Preventing System From Anonymous Users |
| Guide Name | Prof. Kiran Patil |
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| Abstract | Misbehaving activities of malicious users have been a major problem in anonymizing network. In normal network, misbehaving activity can be routinely checked and the IP address of malicious users can be clocked, but in anonymizing network, blocking IP address is not possible. To prepare a system in which, server can blacklist misbehaving users, therefore blocking users without compromising their anonymity. Users acquires an authentication, a special type of pseudonym, to connect to server. The system can blacklist a user by obtaining a seed for a particular request. Server can therefore blacklist anonymous users without knowledge of their IP address. Anonymizing networks such as Tor allows users to access Internet services privately by using a service of routers to hide the client’s IP address form the server. The success of such networks, however has been limited by users employing this anonymity for abusive purposes such as defacing popular web sites. Web sites administration routinely rely on IP address blocking to disabling access to misbehaving users, but blocking IP address is nit particular if the abusers route through an anonymizing network. As a result, Administrators block all known exit nodes of anonymizing network, Denying anonymous access to misbehaving and behaving users alike. To address this problem, an efficient solution is proposed, Nymble, a system in which servers can “blacklist” misbehaving users, thereby blocking users without compromising their anonymity. This system is thus agnostic to different server’s definitions of misbehavior servers can blacklist users for whatever reason, and the privacy of blacklist users is maintained. In Nymble, users acquires an ordered collection of nymbles, a special type of pseudonym, to connect to Websites. Without additional information, these nymbles are computationally hard to link, and hence, using the stream of nymbles simulate anonymous access to services. Websites, however, can blacklist users by obtaining a seed for a particular nymble, allowing them to link future nymble from the same user those used before the complaints remain unlikable. Servers can therefore blacklist anonymous users without knowledge of their IP addresses while allowing behaving users to connect anonymously. |
| Title | Smart Security Surveillance System with Intrusion Detection and Handling |
| Guide Name | Prof. Neha Jain |
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| Abstract | Current video surveillance system which use CCTV camera requires constant human vigilance for effective outcome. Our project tries to remove that need of human and makes those cameras smart by implementing human detection algorithm on them. This report is also written with the purpose of documenting the design and development of a prototype human motion detection system. Here, we presented some basic ways to perform a human motion detection algorithm and also a new way to consider for background updating using spatial information instead of temporal. This project makes use of OpenCV library to capture camera and detect intrusion using comparision technique. Once the comparison is done and an intrusion is found, it senda the image to administrator. |
| Title | AAMCI MAATI AAMCI MANSE (THE SYNERGISTIC FARMING SYSTEM) |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | India is an agricultural country. Several percent of the Indian people are farmers. They are the backbone of the nation. They produce he food crops and oil seeds. They produce common commercial crops. The produce raw material of our industry. Hence they are life blood of our nation . Nowadays, in a number of states, the days of plugging the fields with the help of oxen are almost over except or the farmers who are too poor to purchase a tractor. The farmers has many kinds of work to do. He ploughs his fields. He sows the seeds. He water the field regularly. He has to take care of his crops. He has to protect them against hail and frost. HE has to apply compost and fertilizers. He also has to sprinkle insecticides and pesticides to protect the crops against pests and insects. Most of the old farmers are illiterate. But the farmers of new generation are mostly educated. Their being educated helps them a lot. They got soil of their fields tested in a laboratory. Thus, they know what kind of crop will grow best in their fields. The aim of our project is to make available the information of various crops based on the land quality, the water supply, compost and fertilizers, the insecticides and pesticides needed for the optimum growth of the crop through simple user’s friendly software. It will also contain the information about the newer facilities provided by the government to these farmers, their right and rules and regulations to be followed by them. In chapter 1, we have given an introduction and description about our project; and also we have defined our project that how much and which particular area we are going to cover to implement our project. In chapter 2, we have mentioned a review of literature survey and some of existing system features and the new features that we are going to provide in our project. Such as dynamic nature of our web application i.e. the end user will be able to select a location on that instance and get every information related to type of soil, different type of crops that can be cultivated in that soil. etc. The chapter 3, specifies the system requirements i.e. functional and non-functional requirements and along with some hardware and software requirement for our web application; which describes the front end and the back end of our web application. The chapter 4 describes design details of our project which contain the DFD i.e. Data Flow Diagrams for our project that gives the entire idea about our flow of project. A data flow diagram (DFD) is a graphical representation for the “flow” of data through information system, modeling its process aspects. A DFD is often used as a preliminary step to create an overview of the system, which can later be elaborated. The chapter 5, describe implementation plan for our project that how we started our project and how we made a way to the implement the project. In this we have provided the phases through which we went in (months required and tasks performed) order to achieve the goal. In chapter 6 describes implementation details of our project that specifies the coding for different webpages in our project. It also contain the flow of our project to the end user. The chapter 7 gives an overview on the technologies that we have used in our project. The chapter 8, describes the details about the test classes. We performed some test cases on our project to observe whether it gives the desired output or not. We have positive response for the test cases that we performed on our web application i.e. the result of test cases we pass. The chapter 9 concludes our project as what are the goals of our project and how we will be looking forward to achieve those aims and objectives and also how useful our project is for end users specially the farmers. Also this chapter says about the future scope for the project that how it can be useful for end users. The chapter 10 contains list of references that helped gathering information for our project. |
| Title | Unhabit: Android based Application’s Session Scheduler |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | There are many applications in the market which are available to limit the user from accessing the applications without the proper authentication process on the user’s phone. These application are used to provide such features for all the application available on the phone. And there are other application available which are also allows users to block the call services. Messaging services and other service providers. From the unknown users. The call blocking application will block the number for a specific a specific time period as set by the user. The proposed system will help the users to block the application on their phone. However rather than blocking the application for a specific time period, this system will give the user a specific time to access the applications. Which means. The application will thus help the users to set the session limit for each application available on the phone and thus help the user to set the session time limit for an entire day. The implantation of this project will help the user to eradicate the habit of over-using the application on the phone. Since we are also over-obsessed with the social and gaming application that it is affecting our mental state of mind, drastically, thus this project sees the overall aspects of today’s life and hence it intends to ease up the user’s life in this over-exposed world of mobile application. |
| Title | Exam Grade Management |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | College examination software is useful for displaying complete result of particular student. In current system all the activities are done manually. It is very time consuming and costly. Our system software deals with various activities related to student academics. This software include;
Result analysis:During analysis, data is collected on various files, decision point and transaction handle by present system.In our system software we have the provision for adding the details of the students. The marks of the students are added in the database and so students can also view the marks whenever they want.In this software we can register as a user and can provide with unique login ID and password
The technology we use in this are :-
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| Title | Automated Payroll System(A-Pay) |
| Guide Name | Prof. Uma Goradiya |
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| Abstract | In today’s world data management is much more important, using conventional system is becomes a pain staking process which results in much more difficult to manage the data. So here payroll system comes in the picture which focuses on managing the faculties’ data including their leaves, attendance, deduction details and Personnel Management etc which helps in managing the data more efficiently and easier to access. It also provides features such as payments intimation through SMS and graphical representation of growth of the college and faculties. All databases of faculties are secured and can be accessed only by the authorized user. The payroll system was developed to override the problems prevailing in the practicing manual system. This software is supported to eliminate and in some cases reduce the hardships that are faced by the existing system. Moreover this system is designed for the particular need to carry out operation in a smooth and effective manner. Thus by this all it proves it is user friendly. A-PAY should take care of Personnel Management, Payroll, and Attendance Management by using biometric machine, Leave Management, statutory compliances like PT, PF, ESIC, TDS and IT etc. The system should be able to generate pay slip, attendance and salary summary, graphs and other MIS reports. It will provide SMS intimation for attendances and salary to each faculty and it also provides appointment letter, promotion letter to the faculty etc. This System provides an option to restore or get the backup of all databases of faculties by just clicking a button. Payroll is method of administering faculty’s database in an organization. Proper documentation of every faculty there is no need to look after manual folder and files. Complete detail of collage maintaining payroll software on a single click. |
| Title | Virtual classroom |
| Guide Name | Prof.Garima Mishra |
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| Abstract: | Virtual Classroom represents an innovative shift in the field of learning, providing rapid access to specific knowledge and information. It represents an interface between the students and a professor and provides personalized learning materials to the users. It offers a possibility to the attendees to share different resources at once and work with them as if they were at the same place where (real) resources are. In the system design, agents are used as entities that work on different tasks in the system. A set of agents of the same type is responsible for handling different users and their requests. The cooperation among agents is established through the act of exchanging messages. A wide variety of classroom techniques are being advocated to increase learning: active learning, collaboration, integration of assessment and feedback. |
| Title | Online voting system |
| Guide Name | Prof. Neha Jain |
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| Abstract | This abstract will introduce the online voting system: Android based Application’s. Today suggestion or review about any product or any topic can be easily handled by this polling system. In other hand the rapid development in operating system of the mobile phones gives rise to the application development on the large scale. The main reason behind the tremendous development in android application development is that the android is an open source operating System. It means that the software developers can have customization rights. As well as the software development kit provides tools to build and run android applications. The paper will be describing the basic idea of the project online polling system on android and its advantages, disadvantages and applications. |
| Title | A Real- Time Strategic Game – Hunt Master |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | In an era where video games are beginning to surpass the film industry’s gross product, the gaming landscape has changed quite drastically during the last console cycle. Most people play games, a natural extension of our childhood, and have connections to Monopoly and solitaire to cite just two. Today, games are found in almost everyone’s pocket in the form of applications (apps) downloaded to smartphones and tablets. The global user base of online games exceeds 2 billion users, according Credit Suisse estimates. We intend to develop an exciting real-time strategy game which involves much of an exciting in First Person mode. In video games, thefirst personrefers to a graphical perspectiverendered from the viewpoint of the player character.Games with a first-person perspective are usually-based, wherein the game displays what the player’s avatar would see with the avatar’s own eyes. Thus, players typically cannot see the avatar’s body, though they may be able to see the avatar’s weapons or hands. This viewpoint is also frequently used to represent the perspective of a driver within a vehicle, as in flight and racing simulators. We will use Unity as a platform to create the model and C# language to code the movements of the player and the environment |
| Title | Get Ur Kaarigar |
| Guide Name | Prof. Pravin Jagid |
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| Abstract | In today’s world the working class do not acquire enough time to manage their household problems along with their professional life. To maintain their house they have to depend on others to find a perfect contact for professionals to complete the task on hand. Even if people find a worker for the repairs work they are not available on the required time slot. This way the work to be done is postponed for the time and is done when the repairing professional is free from his other jobs. This way just because of the indirect approach made to the workers the work is not done on time. This web App will be a solution to this problem and will help the users to handle their household works along with their professional life easily and simultaneously. This Web App will have two major segments for efficient and secure working. One Segment will have the user registration and login where the user will enter his work details that need to be done and on what time slot. On the other hand the web app will have some professionals in the field who will provide their contacts to the web app database. The quality of work done by the workers will be the assured by the respective professional. The amount to be given to the worker on completion of work will be fixed before the work starts and will be taken care by the web app to assure the user about the amount to be given on SMS. |
| Title | REMOTE DROID |
| Guide Name | Prof. Garima Mishra |
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| Abstract | As we all know, joystick is used for gaming purpose and available in various types in today’s market like in the form of USB enables or Bluetooth enabled. Android based phone, through the help of Wi-Fi or Bluetooth, it will act as a gamepad and play your game from specific distance using your phone. There is a setting menu by which you can also launch your gamepad as keyboard using your android phone. Even not that, you can also enable your android phone as wireless mouse to control the various activity of your system. Its optimized code will able to connect on any latest version of window operating system like windows 7 or windows 8.By default, all gaming control keys will appear on screen, but users can increase the controlling button, as per their choice and requirements. |
| Title | Image Steganography |
| Guide Name | Prof. K.Jayamalini |
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| Abstract | In the present digital scenario secure communication is the prime requirement. Commonly, cryptography used for the said purpose. Another method related to cryptography is used for the above objective is Steganography. Steganography is the art of hiding information in some medium. Here we are using image as a means for covering information. Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. For hiding secret information in images, there exists a large variety of steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications may require absolute invisibility of the secret information, while others require a large secret message to be hidden. Image steganography proposes a job to transfer the embedded secure data to the target destination without being detected through the unauthorized user. Various carrier file formats would be used, but digital images are large enough used due to the frequency and huge users on the worldwide Internet. To hide the secret data in images, there are large ranges of stenographic methodologies exist some are complex in used than others method. Every method has respective strong and weak points. |
| Title | Android Application for Indoor Positioning Using Augmented Reality. |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Indoor positioning systems help in the localization of objects and spaces inside a building, where Global Positioning System (GPS) and cellular network don’t work effectively. These systems can be much more useful than just localizing objects, if they are augmented with relevant information on the user interface. With this application we would demonstrate, one such use case where an indoor positioning system can be made more useful by rendering relevant 3D graphics on the mobile display. Localization is achieved by creating a location API simulator and using the orientation sensor in phone and tablet. Relevant graphical information based on the users context and selection, is rendered using OpenGL on top of the live camera stream. User studies indicated that overlaying points of interest on the camera view significantly enhanced the user experience in indoor navigation. Localization can be made even more robust with the help of object detection techniques. Our attempt is to demonstrate our application the strong untapped potential in augmented reality techniques in the context of indoor. The application will be a generic solution and can be easily configured to be use in any indoor space such as malls, hospitals, museums, etc. |
| Title | Development of fuzzy neural network software for groundwater modelling |
| Guide Name | Prof . Pravin Jangid |
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| Abstract | So far fuzzy logic has been extensively used to better analyze and design controllers for chemical processors. It has also been used for other applications like parameter estimation of nonlinear continuous time systems but in general fuzzy logic has been intensively used for heuristics based systems .Recently fuzzy logic has been applied successfully, in many areas where conventional model based approaches are difficult or not cost effective to implement . Mechanistic modelling of physical systems is often complicated by the presence of uncertainties. When models are used as purely predictive tools, uncertainty and variability lead to the need for assessment of plausible range of outcomes. A systematic uncertainty analysis provides insight into the level of confidence in model estimates, and can aid in accessing how various possible model estimates should be weighed. In this paper, generalized fuzzy α –cut is used to show the utility of fuzzy approach in uncertainty analysis of pollutant transport in ground water. Based on the concept of transformation method which is an extension of α – cuts, the approach shows superiority over conventional methods of uncertainty modelling .A 2-D groundwater transport model has been used to show this utility of this approach. Results are compared with commonly used probabilistic method and normal fuzzy α –cut technique. In order to provide a basis for comparison between the two approaches, the shape of the membership functions used in the fuzzy methods are the same as the shape of the probability density function used in Monte-Carlo Method. The extended fuzzy α – cut technique will present a strong alternative to the conventional approach. |
| Title | Helping Hands |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract : | In today’s world, food wastage is an alarming issue in India. Our street and garbage bins, landfills have sufficient proof to prove it. Weddings, canteens, hotels, social and family functions, households spew out so much food. Wastage of food is not indicative of only hunger or pollution, but also many economic problems.People’s high standard of living has affected all this wastage of food, clothes etc due to quick change in habit. Instead of wasting such things we can make them put in use by donating to needy, orphans and many below poverty line people. As many people wish to donate such things to needy but there is no source available through which they can make it available to them. We thereby are trying to develop an android application through which we can satisfy the needs of the people in ways as possible as people are used to smart phones. By analyzing user’s requirements, we will create a user friendly interface and at backend database will be there which will provide tracking information and delivery reports which will help to inspire people for donations. We will make it beneficial for needy people .Although our basic aim is food wastage reduction, our application will also fulfill other requirements like clothes, books, etc. |
| Title | Software Development Scheduling and Tracking |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract | We all know that in the real world we, as project managers, are given the deadline of the project before we even have a chance to plan for it. This is a good enough reason why we need to get better at scheduling and tracking our projects. To complete the software project within a specified time limit, we allocate a start and end date that determine the milestones and outcomes of the tasks, determine which tasks are depend on another task to complete its operation, save time, build consistency, enhance visibility scheduling along with special tracking features that will update the project manager about the shortcomings as well as delayed time line. Team Leader will update the progress weekly or monthly depending on the scope of the project they are working on. This information will reflect in the database and Project Manager will be notified automatically about updated status. Resource constrained project scheduling is a major problem in current systems available, data allocation problem at database level, incomplete knowledge or false information given to Project Manager and different software models which cannot be used with single system. Our project will overcome this problem using various models (Waterfall, RAD and Spiral model) that can be selected and used for development of project to provide more flexibility, visual representation by either using a graph or pie-chart that can be provided for better understanding of the development scheduling and tracking. So our project will help to minimize cost, duration of project and overtime of employees with proper validation, outcomes and milestones. |
| Title | Secure Online Transaction using Text Steganography and Visual Cryptography |
| Guide Name | Prof.Neha Jain |
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| Abstract | This project present the approach for secure online transaction using cryptography and text steganography. An online payment system allow people to make payment through a channel using various security tools to hide the personal detail, card detail, during the payment transaction. However the security from tool is not completely protected an information in specific form. This expose a consumer payment information to hackers that can be misused. In this project we use a new approach for online transaction to hide the information in a securely and secure transaction. A consumer sends his payment information directly to a payment portal verifying the consumer, allows the transaction and sends a payment receipt to the appropriate merchant .we will use the text steganography and visual cryptography to secure online transaction to protect consumer data from hacker and an internet susceptibilities. |
| Title | PC Assembly Based On User Benchmark |
| Guide Name | Prof. DeepaliPatil |
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| Abstract | Nowadays, purchasing branded Desktop PC from a single Vendor is getting expensive day by day. Also consumers are required to rely on single Vendor for their whole Desktop PC and thereby compromising on the hardware so as to reduce cost. To overcome this problem a new approach was developed i.e. to assemble the PC by purchasing its essential component from different vendors. A large number of websites allow users to post reviews about product they bought. People who find it difficult to understand the technical specification of a product often tends to read reviews. There are thousands of reviews of customers available on different e-commerce portal related to a product. So it is difficult for the customers to get an idea about the product from wide range of reviews. In this project we aim to summarize the customer’s reviews in factual form using part-of-speech tagger (POS), Lexicon algorithm, and Naive Bayesian classifier which are all based on Natural language processing (NLP). Our focus is to cluster different user opinion or reviews and find the similarities and dissimilarities, so as to extract sufficient information to provide appropriate rating to a product. There are number of product available in the market with different vendors and it creates a bit confusion in the mind of consumer that which component to buy. Therefore it becomes necessary to design effective system to summarize the pros and cons of product characteristics so that consumer can quickly find their favorable product so as to develop an efficient and cost effective desktop PC. We have developed a rating system which rates each computer peripherals based on its performanceand cost and thereby calculating the final rating of assembled system virtually so that consumers can judge whether the assembled product meets all the requirement as expected. |
| Title | Introduction of CRM in Pharmacy Administration |
| Guide Name | Prof. Pravin Jhangid |
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| Abstract | Customer Support and Inventory management is the most basic problem of a company. It is however a vital part of any retail business, whether it’s a traditional brick-and-mortar shop or an online website. It provides us with critical information about the condition of our products such as whether you are low on stock and your inventory needs to be replenished and customer relationship. It gives us insight into which products are selling well and which products are not. This information allows you to make better business decisions on how to market your products and whether or not to carry them. Approximately 85.0% of annual Pharmacy budget is spent on buying materials and supplies which including medicines. We can bring about substantial improvement in the pharmacy inventory and expenditures by the CRM and inventory control techniques. A transaction history file is maintained automatically of entire as well as individual customer so that detailed view of the receipts and shipment of product is available through the system. Our software is a complete medical store administrative software designed so as to ease the work load of medical store professionals and improve business taking into consideration customer support. The main feature includes benefits for the customer by facilities like Membership, automatic SMS reminders etc and invoicing, inventory and stock control, accounting, client and vendor management. This software helps you to track all the customer details and their health records along with profits, loss, profitable clients and products of medical shop. Moreover it’s a medical shop accounting software that uses the combination of CRM and conventional inventory control techniques. It is a flexible and adaptive software suited to medical shops or stores or pharmacies of any size. |
| Title | Intelligent Knowledge Based Conversation |
| Guide Name | Pro. Uma Garodiya |
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| Abstract | In this paper we have proposed an application called CHATTER BOT. Chat bot can be online based or desktop based but we are going to develop application Intelligent Knowledge Based Conversation (I-KBC) which is desktop based. Chat bots are simple to use, in which you “chat” textually with the bot over a computer screen. The bot usually introduces itself. You respond with a statement or question. The bot consults its knowledge base or programming language and replies. The conversation continues as long as it is interesting or useful for the human. There are hundreds of different bots, developed for a variety of reasons; they range from hardwired programs with simply coded patterns to systems built upon embedded learning algorithms that continuously expand their language knowledge base. The I-KBC is based on programming language AIML which is used to store the bots knowledge and profile. Bots are created purely for fun or as part of interactive games, Internet information services, web site guides, ecommerce agents and more. Many bots are designed to provide specific information and direct the dialogue to specific topics. Most chat bots have no capability of learning from conversations and maintaining its emotions in reaction to every previous scenario. These concepts are important, according to our vision, because the main goal of a bot should be to mimic real human conversations. More or less, we visualize this character as a personalization of someone who has some knowledge about some things but is constantly learning everything that is said to it. We can see this as a kid who doesn’t know enough but with time his/her knowledge will expand and future conversations with that kid will hopefully be more solid. |
| Title | Application of Intelligent Agent in Hospital Scheduling System |
| Guide Name | Pro. DeepaliPatil |
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| Abstract | The current standard operating procedure in healthcare environment for patient registration and appointment scheduling are time consuming and somehow tiresome. Normally, we see patients coming to the hospital and filling out registration forms and waiting to be called or patient calls in for getting appointment and waits for the response for an agreed date. In some places appointment can be done online via web but still patient has to walk in with the appointment card to be swiped by the front desk personnel before being sent to the concerned doctor. However, no facility like priority appointment of patients has been developed. Also the appointment does not take into consideration emergency situations like Accidents and so on and the scheduling reported is only for general patient appointment only. Taking these important aspects into consideration, we here have developed an intelligent agent based system towards negotiating and collaborating with the agents of doctors and the hospital for the appropriate appointment time for the patient which would take the above factors into consideration.In these project we are using two algorithms Genetic Algorithm (GA) and Priority Scheduling with SJF. The agents are developed using JADE Application , to make a proper decision regarding making an appointment for patient and other hospital staff. |
| Title | Web-based Security: Honeypots |
| Guide Name | Prof. Neha Jain |
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| Abstract | The current standard operating procedure in healthcare environment for patient registration and appointment scheduling are time consuming and somehow tiresome. Normally, we see patients coming to the hospital and filling out registration forms and waiting to be called or patient calls in for getting appointment and waits for the response for an agreed date. In some places appointment can be done online via web but still patient has to walk in with the appointment card to be swiped by the front desk personnel before being sent to the concerned doctor. However, no facility like priority appointment of patients has been developed. Also the appointment does not take into consideration emergency situations like Accidents and so on and the scheduling reported is only for general patient appointment only. Taking these important aspects into consideration, we here have developed an intelligent agent based system towards negotiating and collaborating with the agents of doctors and the hospital for the appropriate appointment time for the patient which would take the above factors into consideration. In these project we are using two algorithms Genetic Algorithm (GA) and Priority Scheduling with SJF. The agents are developed using JADE Application, to make a proper decision regarding making an appointment for patient and other hospital staff. |
| Title | Smart File Manager – Sorting Filesand Folders into Folders as Categoryand Sub-Categories using Metadata and User Templates |
| Guide Name | Dr. Vinayak D. Shinde |
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| Abstract | Today, we are using many digital devices which store all our information as data in the form of files. Our files (Photos, Music, Videos, Documents, code, etc.) are spread out across multiple devices inside numerous folders. If these files are not arranged properly or using a logic, it becomes a tedious task in locating the required file as we have to remember where those files are or use a search tool. We currently have to manually specify a filename so that we can easily identify the file. Smart File Manager System is a GUI based application that we are proposing to make that will organize digital files and folders of a user in the same way we organize real world objects into categories and sub-categories. Here, a folder will be considered as Category Folder by our system if it finds a ‘.rfs’ file in its root. ‘.rfs’ contains the rules that will be used by our system for sorting. This is being done so that the data of the user is organized in a way that will help them easily retrieve their data through file explorers and search tools to optimize their workflow and make it easier for the user to handleand remember their data. In short, the user will select their data through the application and specify the Category/Sub-Category in which their want to be organized. The rules set for the specified Category/Sub-Category will be applied and the data will be manipulated/renamed and placed into the corresponding folder. |
| Title | Traffic Rules Violation Management System Using NFC |
| Guide Name | Dr. Vinayak D. Shinde |
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| Abstract | The project involves developing an Digital Driving License which provides a proof of identity and a way to access details about license holders past record. The existing driving licenses consist of two memory sections, one for the public and another for personal data. The personal space will hold license data so that it can be checked by government officials in cases of any fraud or other criminality. The space which is provided for public usage will be offered to service providers and will be easily able to be read by an NFC enabled mobile phone. |
| Title | Wear our World using Sixth Sense (WoW-SST) |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Sixth Sense is a wearable gestural interface that augments the physical world around us with digital information and lets us use natural hand gestures to interact with that information. We’ve evolved over millions of years to sense the world around us. When we encounter something, someone or some place, we use our five natural senses to perceive information about it; that information helps us make decisions and chose the right actions to take. But arguably the most useful information that can help us make the right decision is not naturally perceivable with our five senses, namely the data, information and knowledge that mankind has accumulated about everything and which is increasingly all available online. Although the miniaturization of computing devices allows us to carry computers in our pockets, keeping us continually connected to the digital world, there is no link between our digital devices and our interactions with the physical world. Information is confined traditionally on paper or digitally on a screen. Sixth Sense bridges this gap, bringing intangible, digital information out into the tangible world, and allowing us to interact with this information via natural hand gestures. ‘Sixth Sense’ frees information from its confines by seamlessly integrating it with reality. This project deals with development of few real time applications such as calculator, camera, analog clock and a power point presentation using Sixth Sense Technology. |
| Title | Disease Prediction System using Data Mining |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | The successful application of data mining in highly visible fields like e-business, commerce and trade has led to its application in other industries. The medical environment is still information rich but knowledge weak. There is a wealth of data possible within the medical systems. However, there is a lack of powerful analysis tools to identify hidden relationships and trends in data. Disease is a term that assigns to a large number of heath care conditions related to the body. These medical conditions describe the unexpected health conditions that directly control all the body parts. Medical data mining techniques like association rule mining, classification, clustering is implemented to analyze the different kinds of general body based problems. Classification is an important problem in data mining. Given a database contain collection of records, each with a single class label, a classifier performs a brief and clear definition for each class that can be used to classify successive records. A number of popular classifiers construct decision trees to generate class models. The data classification is based on Decision Tree algorithms which result in accuracy, the data is estimated using entropy based cross validations and partition techniques and the results are compared. The general body disease database is clustered using the K-means clustering algorithm, which will remove the data applicable to any general body disease like flu, cough, cold, viral .etc from the database. In this project, the disease prediction system will carry out data mining in its preliminary stages, the system will be trained using machine learning and data mining. The system will initially be fed data from different sources i.e. patients, the data will then be pre-processed before further process is carried out, this is done so as to get clean data from the raw initial data, as the raw data would be noisy, or flawed. Then the feature extraction will be performed on the data, this is to collect the relevant information from the initial raw set of data. This data will be processed using Data mining algorithms, the system, will be trained so as to predict the disease based on the input data given by the user. |
| Title | Scene Generation From Text using NLP |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | Translating elusive ideas or statements into visual scenes is quite a daunting task. First the thought has to be laid out explicitly and clearly in the form of a written statement which acts as the foundation for the conversion. Then a professional strives to create a mental image of the given statement. Finally, another professional starts placing models according to the abstract image created in the previous stage in a model rendering software. Thus converting a single text to corresponding visual element is a rather challenging task. Our project aims to automate this entire transformation. It promises to convert any arbitrary descriptive text into a representative scene. Our system parses a user written input text, extracts information using Natural Language Processing (NLP) and tags relevant units. It then associates every object with model and places them according to the derived relations and spatial dependencies. Ultimately the user can make changes and minor adjustments to the final scene using Blender in-build controls. |
| Title | Enhancing Cloud Security using ECC Algorithm. |
| Guide Name | Prof: Neha Jain |
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| Abstract | A cloud typically contains a virtualized significant pool of computing resources, which could be reallocated to different purposes within short time frames. The entire process of requesting and receiving resources is typically automated and is completed in minutes. The cloud in cloud computing is the set of hardware, software, networks, storage, services and interfaces that combines to deliver aspects of computing as a service. Share resources, software and information are provided to computers and other devices on demand. It allows people to do things they want to do on a computer without the need for them to buy and build an IT infrastructure or to understand the underlying technology. Through cloud computing clients can access standardized IT resources to deploy new applications, services or computing resources quickly without reengineering their entire infrastructure, hence making it dynamic. The core concept of cloud computing is reducing the processing burden on the users terminal by constantly improving the handling ability of the cloud. All of this is available through a simple internet connection using a browser connection. |
| Title | GST Computation System |
| Guide Name | Prof.Neha Jain |
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| Abstract | We begin by elaborating on the important concept of – cascading effect of taxes. It is also, logically, referred to as “taxes on taxes”. It is simple to illustrate – say A sells goods to B after charging sales tax, and then B re-sells those goods to C after charging sales tax. While B was computing his sales tax liability, he also included the sales tax paid on previous purchase, which is how it becomes a tax on tax. The GST is introduced to combat this problem, among many others. The main purpose of our software will making the invoices task easy and handles all user GST invoicing/billing needs. Customer will select the product and proceed for the invoices by retailer. Retailer will enter the product detail in system and amount of the product. System will select the Tax percentage base on the particular product and calculate the actual amount and tax.It will show the total amount of product including GST rates and generate the Invoice. |
| Title | Restaurant Management System Using NFC Technology |
| Guide Name | Prof.Neha Jain |
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| Abstract | Near Field Communication (NFC) is one of the latest technologies in radio communications and being a subset of RFID technology, it is growing at a very brisk rate. NFC technology provides the fastest way to communicate between two devices and it occurs within a fraction of a second. It has various applications in Mobile Communications and transactions. An NFC supported ordering system in restaurants is discussed as one potential use of this technology. Customers, who visit restaurants, usually have to wait for being serviced by a waiter. One of the solutions for this is to enable the customer to order his food directly from his table without the need of a waiter by using near field communications technology. |
| Title | Smart Cart Using Arduino |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | There has been an emerging demand for quick and easy payment of bills in shopping malls. Quite often, when shopping in a supermarket shoppers are frustrated at locating the items on the shopping list and no assistance is available. To overcome these problems, we have designed a smart trolley. It also provides a centralized and automated billing system using RFID. Each product of shopping mall, super markets will be provided with a RFID tag, to identify its type. Each shopping cart is implemented with a Product Identification Device (PID) that contains microcontroller, LCD, an RFID reader. Purchasing product information will be read a RFID reader on shopping cart and it is displayed in LCD which is interfaced to the controller. At the billing counter, the total bill will be transferred to PC by Bluetooth module. Every product in the shop or a mall will have an RFID tag on it. Each Cart will have an RFID reader implemented on it. After the payment of money, the Cart must get reset. There will be a USB that will be connected to the pc of the billing system through which the bill is generated. If the product is removed, it must get deleted from bill too, for that a ‘delete’ button is implemented next to LCD display. There will be a LCD 16*2 display. Display Product Info, Expiry Date, and Better Alternative. |
| Title | Efficiently Analysing And Detecting Fake Reviews |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Robust Trust Reputation Systems (TRS) provide actionable information to support relying parties taking the right decision in any electronic transaction. In fact, as security providers in e-services, TRS have to faithfully calculate the most trustworthy score for a targeted product or service. Thus, TRS must rely on a robust architecture and suitable algorithms that are able to select, store, generate and classify scores and feedbacks. In this work, we propose a new architecture for TRS in e-commerce application which includes feedbacks’ analysis in its treatment of scores. In fact, this architecture is based on an intelligent layer that proposes to each user (i.e. “feedback provider”) who has already given his recommendation, a collection of prefabricated feedbacks summarizing other users’ textual feedbacks. A proposed algorithm is used by this architecture in order to calculate the trust degree of the user, the feedback’s trustworthiness and generates the global reputation score of the product. |
| Title | Opinion Summarization and Classification for Online Product Reviews |
| Guide Name | Prof. Uma Goradiya(Guide) |
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| Abstract: | The growth of E-commerce has led to the invention of several websites that market and sell products as well as allow users to post reviews. It is typical for an online buyer to refer to these reviews before making a buying decision. Hence, automatic summarization of users’ reviews has a great commercial significance. However, since the product reviews are written by non-experts in an unstructured, natural language text, the task of summarizing them is challenging. This paper presents a semi-supervised approach for mining online user reviews to generate comparative feature-based statistical summaries that can guide a user in making an online purchase. It includes various phases like preprocessing and feature extraction and pruning followed by feature based opinion summarization and overall opinion sentiment classification. |
| Title | Look Based Media Player. |
| Guide Name | Prof. Uma Garodiya |
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| Abstract | In this project, we are developing an advanced media player which plays and pauses the video by detecting the users face looking at screen or not and also the field of computer vision based hand gesture interfaces for Human-Computer Interaction (HCI). System monitors whether the user is looking at the screen or not using a web camera. If yes then doesn’t interrupts the video and allows it to play. Along with these, the web camera will also detect the users hand gestures which can be used for performing various events like increasing or decreasing the volume, changing to next video or previous video, etc. In case if the user is not looking at the or say the system couldn’t detect the users face then it immediately stops the video. Currently we propose to build prototype for exploring the use of marking menus in gesture-based interaction for controlling the Media player. |
| Title | Placement predictor and course recommender system |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The performance in education sector in India is a turning point in the lives of all students. As the ability of the student of being placed is influenced by many factors, it is essential to develop predictive data mining model for students’ performance so as to identify the weak students’ skill wise and study the influence of the dominant factors on their performance. In any education system, student records i.e. number of KT’s, skills in the bag, course interest and academic performance may be an important consideration to analyse various trends. Since all the systems are now computer based information system data availability, modification and updating are a common process now. Although student achievement is highly influenced by past evaluations, an explanatory analysis has shown that the person’s area of interest is also an important parameter. As a direct outcome of this project, more efficient student performance prediction tools can be developed, improving the quality of students and enhancing educational institutions resource management. |
| Title | Hand Gesture recognition and Voice Conversion for Dumb and Deaf person |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | Communication is the main channel between people. There are many languages spoken all around the world and interpreted. “special people”, that is people who have difficulty in speaking and hearing “The dumb” and “The deaf” people respectively find it difficult to understand what exactly the other person is trying to communicate and so with the deaf people. Sometimes people interpret these messages wrongly either through sign language or through lip reading or lip sync. This project is made in such a way to help these specially challenged people hold equal par in the society. |
| Title | Shoppers Paradise With Recommender System |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | This project is a web based shopping system for an existing shop. The project objective is to deliver the online shopping application into asp platform. This project is an attempt to provide the advantages of online shopping to customers of a real shop. It helps buying the products in the shop anywhere through internet by using an android device. Thus the customer will get the service of online shopping and home delivery from his favourite shop. This system can be implemented to any shop in the locality or to multinational branded shops having retail outlet chains. If shops are providing an online portal where their customers can enjoy easy shopping from anywhere, the shops won’t be losing any more customers to the trending online shops such as flipcart or ebay. Since the application is available in the Smartphone it is easily accessible and always available. We try to provide the customer with better quality recommendations. This System includes Inventory Management. |
| Title | Smart Classroom |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The project “SMART CLASSROOM” provides a simple interface for maintenance of student information. This project can be used in any educational institutes to maintain the records of student easily. Since maintaining the information through paperwork is very difficult and also very time consuming and also today the world is going digital. Therefore, this project is created to reduce the paperwork and it is very less time consuming. Smart Classroom consists of different module such as student module, staff module, notice module, quiz module, attendance management module etc. Our main purpose is to create a website which will manage the working of these different modules. The interconnectivity among these modules reduces the time to perform different operational tasks. Smart Classroom is a web app where all the basic information of student, staff stored automatically. This project manages the information of various departments including staff information, notice board, examination, result etc.This system contain feature of an online conversation using chat box and also contain video conversation. Automatic generation of ID card. In case the ID card is lost then student can generate a college ID from here. Parents can easily view his child regular college activities. Parents can also contact directly with the faculty member through our proposed system. By few clicks one can easily gather the information about any student or staff and live classroom activity. |
| Title | Quality Education System through Paperless Evaluation |
| Guide Name | Prof.Uma Goradiya |
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| Abstract | The maintenance of the entities record is an integral part of an organization and plays a significant role in improving the organization performance effectively. The current system for the education being used at most of the institution relies on an inflexible paper system that users outdated, labor-intensive technology and it requires sufficient administrative efforts. We are emphasizing on developing this project that will help the different college entities to use the services provided in the college by making use of paperless work in different college institutes. For this, we are implementing distributed application “Quality education system through paperless evaluation” based on web technology. It adds more functionality to already abundant work done in college institutes. Using this project most of the important work of college institutes can be done without making use of paper in college premises. This project involves different entities of the institute to log in and perform their respective work when they require. Our proposed system aims to provide benefits to different college entities to do their work efficiently and timely manner. Quality education system through paperless evaluation system will develop to significantly reduce staff workloads it requires less administrative efforts for all activities of college. Our proposed system will provides a common platform for training and placement services, student attendance and staff information. |
| Title | Two Wheeler Service Center Management System |
| Guide Name | Prof. Neha Jain |
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| Abstract | Now a day technology is on a boost. People wish to live a luxurious life with minimum physical work. Here we provide a software application for “Two wheeler service centre management system”. The software will enable any two wheeler user to search and communicate with any two wheeler service centre in nearest area. This software can easily manage the customer information and service relevant inventory. Service scheduling is of the major of this software. The software will easily recognize the regular customer and generating daily service report. Currently Albion store is facing the problem of mismanaging their customer information and service schedule. Due to this they lose their important customers and it takes lot of time to do our daily operation. Albion store is currently using semi-automated excel sheet to maintain our customer and service information which has a lot of limitation and difficulties. To solve the above problem, service centre management software is compulsory because it has the ability to store the data of service information in a centralized database. The software is totally reduced to redundant of customer information and service information. The service centre software helps organization to maintain the customer information securely. In short, this application is the solution for an entire life cycle of service management. |
| Title | Cryptography Using Color Substitution |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The emerging threats to information security are increasing at an alarming rate. The most influential and universal approach to counter such threats is encryption. Traditional encryption techniques use substitution and transposition. Substitution techniques map plaintext into ciphertext. In all traditional substitution techniques, characters, numbers and special symbols are substituted with other characters, numbers and special symbols. In this project, an innovative cryptographic substitution method is proposed to generate a stronger cipher than the existing substitution algorithms. This method emphasizes on the substitution of characters, numbers and special symbols with color blocks. This algorithm of substitution is based on Play Color Cipher. The cryptanalysis done on this will prove that the cipher is strong. |
| Title | File Transfer Through SMS |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | In the last few years, SMS (Short Message Service) has made a big impact on the way we communicate. Instead of communicating over the phone using voice, people rather prefer SMS not only for messaging but also for information exchange. This project proposes a method of building an extendable generic application which can be used to search a file on remote desktop and mail it to user. Mobile users send required information through a SMS to a mobile gateway that forwards it to the generic application. Given the user-provided information, the generic application automatically searches the file on remote machine and mails it to the user. This project is based on the concept of searching a file on remote machine by just sending a simple SMS. The purpose of the project is to search a file on remote machine by just sending a simple SMS and get that file mail it to user if found. The application will be kind of desktop application where it will check for new incoming SMS. The application will first check whether the mobile number through which SMS has been sent is authorized to search the file or not. If not application will send back an acknowledgement saying that user is not authorized to search the file. If the user is authorized, than application will start the file search and if the file is found it will mail it user on the emailed that is received in SMS. While sending SMS user has to send the option, file name, file path (optional) and email id. |
| Title | Sentiment Analysis for Twitter |
| Guide Name | Prof. Neha Jain |
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| Abstract | With the rise of social networking epoch, there has been a surge of user generated content. Micro blogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time micro blogging service, Twitter, where users post real time reactions to and opinions about “everything”. In this paper, we expound a hybrid approach using both corpus based and dictionary based methods to determine the semantic orientation of the opinion words in tweets. A case study is presented to illustrate the use and effectiveness of the proposed system. |
| Title | Tap and Shop |
| Guide Name | Prof. K. Jayamalini |
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| Abstract | This project presents a novel method to create an Android based M-commerce application using NFC. It would require Mobile Devices which support NFC technology. NFC stands for Near Field Communication technology which is a short-range, high frequency, low bandwidth radio technology that allows transferring data within few centimeters. In traditional shopping, the customer needs to physically pick up the items to be purchased and carry cash or credit/debit cards with them to make payments. The application mentioned here would read the NFC tag(s) of the product(s)and add it to the shopping cart in our application. It would also provide methods to change the quantity of product/s purchased and edit the cart. Along with this the customer would be informed about the on-going offers in the store. Payment could be made through cash or online using existing payment methods. The paper would also throw light on NFC based payments. |
| Title | Project Managementand Recruitment Management System |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Academic project management is a major issue which is faced by many educational institutes in India. The main reason for this is there is no automated system followed in any institute. College management/staff gathers all the project reports ,academic details from students and store them physically in some locations and similarly, at the time of recruitment the HRs have to study all of them manually which is time consuming. To overcome this problem we have decided to develop web application which is useful for every institute. College Project Management And recruitment Management System is an ideal system for students and college. |
| Title | Helping Hand |
| Guide Name | Prof. Neha Jain |
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| Abstract | The proposed work is part of a project that aims at the control of a cursor based on hand gesture recognition. This goal implies the restriction of real-time response and the use of unconstrained environments. In this report we present an algorithm to track and recognise hand gestures for interacting with computer. For the hand segmentation step we use the colour cue due to the characteristic colour values of human skin, its invariant properties and its computational simplicity. To prevent errors from hand segmentation we add the hand tracking as a second step. Tracking is performed assuming a constant velocity model and using a pixel labelling approach. From the tracking process we extract several hand features that are fed into a finite state classifier which identifies the hand configuration. The hand can be classified into one of the four gesture classes or one of the four different movement directions. Finally, the system’s performance is evaluated by showing the usability of the algorithm in a personal computing environment. |
| Title | Soldier Tracking and Health Monitoring System |
| Guide Name | Prof. Pravin Jangid, |
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| Abstract | In today’s world the security of the nation is depends on the enemies warfare and so the safety of the soldiers is considered as important role in it. Concerning the soldiers safety there are many instruments to view their health status. In soldiers security, bio-sensors systems gives different types of small physiological sensors, Biomedical sensor, transmission modules and processing capabilities and can thus facilitate low-cost wearable unobtrusive solutions for health monitoring. GPS used to log the longitude and latitude so that direction can be known easily. These devices are being added to firearms, and militaries where possibility of embedding GPS devices into soldiers vests and uniforms so that field commanders can track their soldier’s movements in real time.GSM module can be used for effective range of high-speed transmission, and soldier-to-soldier wireless communications that will be required to relay information on situational awareness, tactical instructions, and covert surveillance related data during special operations reconnaissance and other missions. So by using these equipment’s we are trying to implement the basic life guarding system for soldier in low cost and high reliability. |
| Title | Movie Recommender System |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | Movie Recommender is an expert system for movie recommendation. We will implement the system using machine learning and cluster analysis based on a hybrid recommendation approach. The system will take in the user’s personal information and will predict their movie preferences using well-trained support vector machine (SVM) models. Based on the SVM prediction it will select movies from the dataset, then it will cluster the movies and will generate questions to the users. Based on the user’s answers, it will refine its movie set and finally it will recommend movies for the users. For a system to understand a movie, it needs movie features such as movie cast, movie genre, movie plot, etc. With these information, a system can better categorize movies. User written movie reviews is one such source of features. It carries substantial amount of movie related information such as location, time period, genre, lead characters and memorable scene descriptions. Since a user written movie review contains both useful and useless information, some text pre-processing is required before it can be used by a RS. |
| Title | Drowsy Driver Identification System |
| Guide Name | Prof. K.Jayamalini |
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| Abstract | Driver fatigue is a significant factor in a large number of vehicle accidents. Recent statistics estimate that annually 1,200 deaths and 76,000 injuries can be attributed to fatigue related crashes. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Because of the hazard that drowsiness presents on the road, methods need to be developed for counteracting its affects .The aim of this project is to develop a prototype drowsy driver identification system. A Drowsy Driver Identification System has been developed, using a non-intrusive machine vision based concepts. The system uses a small camera that points directly towards the drivers face and monitors the drivers eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. The system first needs to find the face and then locate the eyes and the mouth. After detecting the eyes, find whether they are open or closed. Drowsiness is also detected by detecting whether driver is yawning or not. Implementing such a system would reduce the number of fatal accidents that are caused by drowsiness and would help the society. |
| Title | Smart Yatra |
| Guide Name | Prof. K.Jayamalini |
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| Abstract | It is generally based on the idea of providing the best possible travelling to the user. The main goal of the proposed work is to improve travelling by adding the necessary additional features into the application, like accurate bus timings, train timing, train number, auto stand, fare of trains, buses, autos, even the sharing prices of auto rickshaw and moreover adding a GPS tracker into it and SOS for emergencies. This application accepts input in the form of selection of the source and destination and display the entire details about the routes and also track the location of the respective bus and give the output in various routes like minimum distance, minimum cost and minimum modes of transportations. It provides information related to local places and local stores like local stores offers, rating, etc. It also provides information related to auto stand and share autos. With this application we are providing a platform to local thing. |
| Title | Choreography Randomizer |
| Guide Name | Prof. Uma Goradiya |
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| Abstract | It is an application that uses smart features to give steps for a specific music based on the music beats or the style of dance and or a selection of a dance move for a specific beat. We will have to feed dance moves in a database and depending on the song beats and used a machine learning language which will use random algorithms depending on the music beats. The person can select also a dance style if the user wants the dance to be choreographed in a specific dance style. Also the user will be able to check a step and put it in a beat manually if he wants. If the person doesn’t likes the choreography then the user can click random button and a new choreography will be made which may or may not be based on the dance style. The output will be animated humans doing human like dance moves. The front end will be machine learning program which uses randomized algorithms. The back end will be a database which will store the dance moves. |
| Title | Ngen Server Application |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Today’s world is moving fast towards virtualization and cloud; hence it becomes very important for the organizations to encrypt the critical data. This application provides this facility by enhancing the AES algorithm by adding custom encryption settings in the algorithm. Since AES has been cracked by attackers in the past. Any known algorithm has a probability of being cracked. So hence we here propose a configurable algorithm that allows user to modify the algorithm each time he encrypts text. The algorithm uses AES and adds some custom configurable steps in the system where user may modify the encryption process as needed. In this application more steps of encryption are added in order to make the data impossible to decipher by attackers. |
| Title | Asynchronous Web Based Proxy-Server |
| Guide Name | Prof. Neha Jain |
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| Abstract | We intend to design a web based proxy server which will be faster, asynchronous, and that can continuously stream content to make it more scalable. For example, in Windows 8 home screen, you can see the widgets loading many different content like weather feed, Flickr photo, YouTube videos, RSS from many different external domains. All these are done via a Content Proxy. Content Proxy serves million URLs which is quite an engineering challenge for us to make it both fast and scalable. Sometimes Content Proxy serves megabytes of data, which poses even greater engineering challenge. |
| Title | Voice Control Household Appliances |
| Guide Name | Prof.Uma Goradiya |
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| Abstract | Automation is a trending topic in the 21st century making it play an important role in our daily lives. The main attraction of any automated system is reducing human labour, effort, time and errors due to human negligence. With the development of modern technology, automation has become a necessity for everyone. Applications are being developed on Raspberry Pi’s that are useful to us in various ways. Another upcoming technology is natural language processing which enables us to command and control things with our voice. Combining all of these, our paper presents a micro controller based voice controlled home automation system. Such a system will enable users to have control over every appliance in his/her home with their voice. All that the user needs is a control circuit |
| Title | Precision Farming |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract | Project smart farming for precision agriculture is based on technology that we use in farming electronically and through softwares. These projects implement several technologies undertaken by Raspberry Pi INC, etc. The main purpose of these projects is to provide a farmer a new generation device that can be use in agriculture field over any electronics device using Transmission Control and Internet Protocol through any smart phone or Internet operating device. The technology implemented for this purpose is Internet Of Things operating integrated circuits. This project will reduce the gap between customizable electronics devices and programming application or softwares since because of these project electronic devices can be programmed, interfaced and controlled with any other Object Oriented Languages like Java and Web based language like HTML, PHP, Node. JS, etc. The microprocessor that we use here is Raspberry Pi that will include all different types of sensors in cooperated. This robot will operate in farming place where it can sense data from agriculture like soil quality, Water Level in soil, fertility, Humidity and temperature that requires crop to grow at specific time period it will analyze data that is received from agricultural area and give farmer a statistical data that will help farmers to solve their problems. |
| Title | Examination System for Visually Impaired |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | The Online-Examination for visually impaired People is basically an online examination system. It reflects the justification and objectivity of examination. It helps to release the workload of teachers and students. The current online examination systems do not allow visually impaired people to appear for the examination. Hence, the proposed application is designed for the visually impaired people so that they can appear for examination, it is also useful for the other handicapped people with upper limb disability. This research work provides the speech user interface for visually impaired people to interact with the application. The proposed application will dictate the questions to the candidate with the help of Speech Synthesis. The application will accept the answers from candidates through voice commands using Speech Recognition. The proposed system also allows users (examiners/teachers) to add their questions to conduct the examination. The questions can be added easily by uploading a file. As the proposed system is online, result generation will be quick. |
| Title | Social Enhancement Versatile Approach (SEVA) |
| Guide Name | Prof. Vinayak Shinde |
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| Abstract | S.E.V.A. is an initiative to provide a platform to the masses of the country to raise their voice against day to day civic problem they are facing. It is a mobile application which is free and convenient to use. This application is all about providing a flexible option to the masses of the country to cast their opinions and views on day to day problems they face. It will provide the feature of amalgamating the views of the people towards an issue and reach out to the authorities or the person responsible to look after the matter. If a person finds a problem in any area e.g. road problems, he/she can capture a picture along with a short description about the problem and the information then can be submitted by the user on the S.E.V.A Portal. Individuals can give their votes over the issues posted and accordingly the issues will be prioritized. The Issues which needs immediate attention on the basis of the polling will be driven to the incumbent personality who is a part of the government. |
| Title | SLRTCE Schedular |
| Guide Name | Prof. Neha Jain |
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| Abstract | The SLRTCE PocketApp acts a medium for the students to help, to communicate, to share, to authenticate, to know the different activities, to participate in the events, to set reminder, to get updates from the forums. The main components of this application are Database, User Interface, Reminder, Server for maintaining and organizing the users and Push notification. Once the user has installed the apk file of the application in the respected Smartphone the first step will be authentication where in the application will prompt for distinct user’s information, this information will be stored in the database installed in the server computer and will be used further for acknowledgment .Following this registration process a username and password will be provided to the applicant through which the person will be able to login the application as an authentic user to the system created. Now, the user is over to number of options like my-schedule, my-lecture’s notes, my-library, personal chats, groups, college events, forum, record lecture and reminder. The user can also get information about event details or about any precedent event in the past. Features of Application include Ease of use Simple interface which allows students to browse through various options and also easily comprehensible options are provided, Schedule Experience Allow students to bring multiple schedules up side by-side and compare options. Provide the best schedule experience And Quick Installation One to two steps of registration and the user will be able to begin with the application. |
| Title | Smart Classroom |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The project “SMART CLASSROOM” provides a simple interface for maintenance of student information. This project can be used in any educational institutes to maintain the records of student easily. Since maintaining the information through paperwork is very difficult and also very time consuming and also today the world is going digital. Therefore, this project is created to reduce the paperwork and it is very less time consuming. Smart Classroom consists of different module such as student module, staff module, notice module, quiz module, attendance management module etc. Our main purpose is to create a website which will manage the working of these different modules. The interconnectivity among these modules reduces the time to perform different operational tasks. Smart Classroom is a web app where all the basic information of student, staff stored automatically. This project manages the information of various departments including staff information, notice board, examination, result etc. This system contain feature of an online conversation using chat box and also contain video conversation. Automatic generation of ID card. In case the ID card is lost then student can generate a college ID from here. Parents can easily view his child regular college activities. Parents can also contact directly with the faculty member through our proposed system. By few clicks one can easily gather the information about any student or staff and live classroom activity. |
| Black Book Serial Number | |
| Title | Quality Education System through Paperless Evaluation |
| Guide Name | Prof.Uma Goradiya |
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| Abstract | The maintenance of the entities record is an integral part of an organization and plays a significant role in improving the organization performance effectively. The current system for the education being used at most of the institution relies on an inflexible paper system that users outdated, labor-intensive technology and it requires sufficient administrative efforts. We are emphasizing on developing this project that will help the different college entities to use the services provided in the college by making use of paperless work in different college institutes. For this, we are implementing distributed application “Quality education system through paperless evaluation” based on web technology. It adds more functionality to already abundant work done in college institutes. Using this project most of the important work of college institutes can be done without making use of paper in college premises. This project involves different entities of the institute to log in and perform their respective work when they require. Our proposed system aims to provide benefits to different college entities to do their work efficiently and timely manner. Quality education system through paperless evaluation system will develop to significantly reduce staff workloads it requires less administrative efforts for all activities of college. Our proposed system will provides a common platform for training and placement services, student attendance and staff information. |
| Title | Two Wheeler Service Center Management System |
| Guide Name | Prof. Neha Jain |
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| Abstract | Now a day technology is on a boost. People wish to live a luxurious life with minimum physical work. Here we provide a software application for “Two wheeler service centre management system”. The software will enable any two wheeler user to search and communicate with any two wheeler service centre in nearest area. This software can easily manage the customer information and service relevant inventory. Service scheduling is of the major of this software. The software will easily recognize the regular customer and generating daily service report. Currently Albion store is facing the problem of mismanaging their customer information and service schedule. Due to this they lose their important customers and it takes lot of time to do our daily operation. Albion store is currently using semi-automated excel sheet to maintain our customer and service information which has a lot of limitation and difficulties. To solve the above problem, service centre management software is compulsory because it has the ability to store the data of service information in a centralized database. The software is totally reduced to redundant of customer information and service information. The service centre software helps organization to maintain the customer information securely. In short, this application is the solution for an entire life cycle of service management. |
| Title | Cryptography Using Color Substitution |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | The emerging threats to information security are increasing at an alarming rate. The most influential and universal approach to counter such threats is encryption. Traditional encryption techniques use substitution and transposition. Substitution techniques map plaintext into ciphertext. In all traditional substitution techniques, characters, numbers and special symbols are substituted with other characters, numbers and special symbols. In this project, an innovative cryptographic substitution method is proposed to generate a stronger cipher than the existing substitution algorithms. This method emphasizes on the substitution of characters, numbers and special symbols with color blocks. This algorithm of substitution is based on Play Color Cipher. The cryptanalysis done on this will prove that the cipher is strong. |
| Title | File Transfer Through SMS |
| Guide Name | Prof. Neelam Phadnis |
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| Abstract | In the last few years, SMS (Short Message Service) has made a big impact on the way we communicate. Instead of communicating over the phone using voice, people rather prefer SMS not only for messaging but also for information exchange. This project proposes a method of building an extendable generic application which can be used to search a file on remote desktop and mail it to user. Mobile users send required information through a SMS to a mobile gateway that forwards it to the generic application. Given the user-provided information, the generic application automatically searches the file on remote machine and mails it to the user. This project is based on the concept of searching a file on remote machine by just sending a simple SMS. The purpose of the project is to search a file on remote machine by just sending a simple SMS and get that file mail it to user if found. The application will be kind of desktop application where it will check for new incoming SMS. The application will first check whether the mobile number through which SMS has been sent is authorized to search the file or not. If not application will send back an acknowledgement saying that user is not authorized to search the file. If the user is authorized, than application will start the file search and if the file is found it will mail it user on the emailed that is received in SMS. While sending SMS user has to send the option, file name, file path (optional) and email id. |
| Title | Sentiment Analysis for Twitter |
| Guide Name | Prof. Neha Jain |
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| Abstract | With the rise of social networking epoch, there has been a surge of user generated content. Micro blogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time micro blogging service, Twitter, where users post real time reactions to and opinions about “everything”. In this paper, we expound a hybrid approach using both corpus based and dictionary based methods to determine the semantic orientation of the opinion words in tweets. A case study is presented to illustrate the use and effectiveness of the proposed system. |
| Title | LI-FI (Light Fidelity) |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | Whether you are using wireless internet in a coffee shop, stealing from the guy next door, or competing for bandwidth in a conference, you have probably gotten frustrated at the slow speeds you face when more than one device is tapped into the network. As more and more people and their many device access wireless internet, clogged airwaves are going to make it. One German physics Harald Hass has come up with a solution he calls “data through illumination” – taking the fiber out of fiber optic by sending data through an LED light bulb that varies in intensity faster than human eye can follow. IT’s the same idea behind infrared remote controls but far more powerful. Hass says his invention, which he calls DLIGHT, can produce data rates faster than 10 megabits per seconds, which is speedier than your average broadband connection. He envisions a future where data for laptops, smart phones, and tables is transmitted through the light in a room. And security would be snap – if you can’t see the light, you can’t access the data. |
| Title | Private Cloud |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | Private cloud is basically an Internet based network made up for large numbers of servers- mostly based on open standards, modular and inexpensive. Cloud contain vast amount of information and provide a variety of services to large number of peoples. The benefit of cloud computing are Reduced Data Leakage, Decrease evidence acquisition time, they eliminate or reduce service downtime, they Forensic readiness, they decrease evidence transfer time. The main factor to be discussed is security of cloud computing, which is a risk factor involved in major computing fields. This is a very important concept which have a very bright future as a technology as well as future aspects for students. |
| Title | Management Information System for College |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | MANAGEMENT INFORMATION SYSTEM deals with the maintenance of college, faculty and students information within the colleges. MIS is an automation system, which is used to store the college, faculty, students, courses, and information of a college. Starting from registration of a new student in the college, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTERNET based campus wide portal. It collects related information from all the departments of an organization and maintain files, which are used to generate reports in various forms to measure individual and overall performance of the students.The privilege for each user is fixed. The modules are Admin, Teacher, Lab Assistant and students. THE admin is able to view all other modules. |
| Title | SCALA- THE NEW AGE PROGRAMMING LANGUAGE |
| Guide Name | Prof. Anil Chaturvedi |
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| Abstract | Scala is an object-functional programming and scripting language for general software plications. Statically typed, designed to concisely express solutions in an elegant, type-safe and lightweight Vow ceremonial) manner. Scala has full support for functional programming including currying, pattern matching, algebraic data types, lazy evaluation, tail recursion, immutability, etc.). It cleans up what are often considered poor design decisions in Java (such type erasure, checked exceptions, the non-unified type system) and adds a number of other matures designed to allow cleaner, more concise and more expressive code to be written. Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You n play with it by typing one-line expressions and observing the results. But you can also lay on it for large mission critical systems, as many companies, including Twitter, LinkedIn, and Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony, its types get out of the way because the compiler can infer them. There’s a REPL IDE worksheets for quick feedback. Developers like it so much that Scala won the criptBowl contest at the 2012 Java One conference. Scala is designed to interact well with mainstream platforms such as Java or C#. It shares with these languages most of the basic operators, data peps, and control structures. For simplicity, we compare Scala in the following only it Java. But since Java and C# have themselves much in common, almost all similarities with Java carry over to C#. Sometimes, Scala is even closer to C# than to Java, For instance in its treatment of genericity. Listing 1 shows a simple program in Java and Scala. The program prints out all options included in the program’s command line. The example shows many similarities. Both languages use the same primitive class String, calling the same methods. They also use the same operators and the same conditional control construct. The example also shows some trances between the two languages. |
| Title | Cloud Based Email Server |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | Mail Severs are an important necessity for every small, middle and large enterprise, needs its needs its mails to secure and attached with its domain name. So most of the enterprises follow the trend of having and mail exchange server hosted in companies host network. This set of configurations needs a dedicated set of mail server and group of people to monitor, manage the troubleshoot it. All this activities has extra overhead of machine cost and IT and network engineer’s salary which in a big enterprise goes as high as 30-50 Lacks annually. This project eases the problem of creating, managing, monitoring and troubleshooting the exchange mail servers by provided web based solutions on cloud for mail, keeping mails secure and accessible on desktop and mobile phones with support to SMTP, POP and IMAP protocols. This project aims to replace dedicated email servers with all the benefits of cloud. |
| Title | Communicator |
| Guide Name | Prof. Pravin Jagid |
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| Abstract | Our project. “COMMUNICATOR” aims at providing different means of communication and a facility of transferrin2 files between the clients in the network through an intermediary server. This project is mainly divides into four modules of communication. The project contains: A Chat application which is capable of sending_ messages to other clients on the same network. A File Transfer application which is able to send tiles to other clients on the same network. It also contains an error detection and recovery mechanism which searches for errors which may occur while sending, the file and if any error occurs then the file is retransmitted .A Voice chat application which will allow users on the same network to have a voice chat. The voice of the sender is transmitted to the receiver within a delay of 1000ms.A Video chat application which will allow users on the same network to have a Video chat using webcam. This project will mostly be used where there is a need of client to client communication inside a network. This project does not contain any use of Internet. |
| Title | HEALTH CARE |
| Guide Name | Prof. Pravin Jangid |
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| Abstract | A special topic conference focused on point-of-care technologies for global healthcare issues is proposed. The proposed conference will bring research presentations and technology discussion forums on recent technological advances and global issues on implementation of technologies. Though the challenges of providing healthcare in developing cities. There is a common goal to provide access to health monitoring and assessment technologies to people with limited healthcare facilities. While the developed city may find technologies as effective means for reduce-healthcare by online websites and improving efficiency of technologies by search the best hospitals nearby areas for all the details. The user has to login the website and get information. It also has the process to take the appointment with doctors, specialist and by using online messaging appointments and cancelling. The basic challenge of providing for healthcare to all people. |
| Title | Employee Beat Plan Tracker |
| Guide Name | Prof. Vinayak D. Shinde |
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| Abstract | In this project, we have Proposed a system which deals with beat plan tracking. Beat is all sorts of credentials with the sales executive. Plan tracking consists of employee and inventory tracking. Inventory is the collection of Subscriber Identity Module (SIM) cards and recharges with the sales executive. This application provides the solution to overcome the famous D-1, D-2 (Day minus one, day minus two problem along with many other attractive and useful features like employee tracking, inventory management, sales reporting and many more on the world’s most popular mobile operating system i.e. Android. Employee tracking is the feature by which the employees or better known as Field sales executives are tracked by their location. Inventory management deals with keeping the trace of number of SIM or the amount of recharge with the executives as well as the retailers. It will also help in replacing the traditional way of reporting with the on the go reporting style, thus reducing the overhead of paper work. This proposed system’s Graphical User Interface (GUI) is built in XML using Android operating system and it is implemented using Java language. |
| Title | Web Enabled Society Maintenance System |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | This project revolves around management and operations or a residential society or a complex. We want to develop a system that will be a one stop portal for the entire residence owner, tenants, and also the management office, the aim is to make this product easy to use as well as fun. Considering that to till this date majority of the society operation like maintenance bill, records of owner, tenants and shops and as well the dashboard event are carried out manually there is a high need for an automated system that can reduce the paper work and also avoid the problems in maintaining the society. Normally where a secretary has to do labor of responding to the residents about various problems and news, he even has to make sure every person has received its bill and is also make them aware about the on-going activities in the society, it not only hard work but also at times not every owner or tenant is available and someone gets missed out from the news. This all can be avoided if we have a system where a person can access it according to his own sweet time and if any queries can also post it to the manager/secretary. Considering every single person in this world is using a smart phone or a computer and they prefer getting their news from the internet with the help of our idea that is fresh and new, a change can be brought in the way we handle and communicate with our society members and various activities. Our concept of having an web portal system for society maintenance will not only make paying bills and keeping a tab on the notices much easier but also will help us to connect to our residential complex and the people we live among. It will be much more accessible from any part of the world. Multitasking is the ultimate mantra of our hectic busy life and with the help of this system we are just making step towards an easier life and also keeping it simple. |
| Title | Unique Availater |
| Guide Name | Prof.RadhaChawre |
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| Abstract | Introduction of Smart phones redefined the usage of mobile phones in the communication world. Smart phones are equipped with various sophisticated features such as Wi-Fi, (WS navigation, high resolution camera, touch screen with broadband access which helps the mobile phone users to keep in touch with the modern world. Google came up with an innovative operation system termed as ANDROID. As day to day increase in android usage and along with internet usage on cell phones to be in touch with world. This gave us an opportunity to take a step forward to develop something for user to easily find out everything using the application. Then we will start developing the application named as Unique aviator. `Unique Aviator ‘ application will be developed for Google’s Android Mobile Platform. The application is basically divided into two categories One in which, application uses a GPS to track the location information of the user and through that it will easily find out the or place which they want it to be. So they get the resultant place easily. Second in which we provide off line facilitate also. Sometime user does not have an internet connection or out of coverage area but still it works. Because we also gave them facility to search without necessarily need of internet. This application will be written in Java Programming which runs on Eclipse Integrated Development Kit and android SDK, and the database in coded in SQLite . |
| Title | Handwritten Recognition |
| Guide Name | Prof. Deepali Patil |
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| Abstract | Handwriting Recognition enables a person to scribble something on a piece of paper and then convert it into text. If we look into the practical reality there are enumerable styles in which a character may be written. These styles can be self-combined to generate more styles. Even if a small child knows the basic styles a character can be written, he would be able to recognize characters written in styles intermediate between them or formed by their mixture. This motivates the use of Genetic Algorithm or Back Propagation Algorithm for the problem. In order to prove this, a pool of images of characters were made which were converted to graphs. The graph of every character was intermixed to generate styles intermediate between the styles of parent character. Character recognition involved the matching of the graph generated from the unknown character image with the graphs generated by mixing. This method gives better accuracy to recognize any handwritten character. Handwriting recognition refers to the identification of written characters. The problem can be viewed as a classification problem where we need to identify the most appropriate character the given figure matches to. Offline character recognition refers to the recognition technique where the final figure is given to us. We have no idea of how the writer wrote the letter. This is contrary to the online character recognition systems where the data can be sampled while the character is being written. |
| Title | Congestion Control |
| Guide Name | Pro. RadhaChawre |
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| Abstract | Congestion in cellular networks during peak hours and at hot spots is a major problem being faced today almost everywhere especially in metro cities. Even though capacity increase seems to be a natural solution to this problem, it is not economically viable due to heavy infrastructure costs involved. As the traffic demand is continuously increasing the problem of congestion is going to remain forever and therefore needs to be effectively addressed. Proposed scheme tries to address the problem of congestion in cellular networks by introducing a new concept of call duration control coupled with dynamic pricing and call-on-hold principle. Long duration calls in the network is one of the major reasons for congestion in the network. We propose to restrict the duration of such calls depending upon traffic conditions. At heavy traffic conditions the network restricts the duration of on-going calls up to a specific time beyond which the user has to pay at a higher tariff. At the same time a principle of call-on-hold is also implemented so that if a newly generated call does not get a traffic channel then it is not blocked but is put on hold in a queue hoping to get a channel soon. Our scheme reduces the level of congestion substantially without any compromise with system utilization and at the same time it also marginally increases the revenue per unit time |
| Title | M-Suburban Train Ticket System |
| Guide Name | Pro. Vinayak D. Shinde |
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| Abstract | The passenger flow in the western division of Mumbai Suburban Railway system is multiplying day by day. The existing ticketing system is causing a considerable increase in the travel time due to a major drawback- long queues”, which absorbs a significant portion of the travelling time. On an average, a commuter spends around 15 minutes in the queue at the suburban booking office windows of Mumbai. In this study we aim to explain the use of mobile services by looking at an area where it has been quite successful; that is mobile ticketing in public transportation. Firstly, this paper provides a brief glance at ATVM (Automatic Ticket Vending Machines) and (CVM) Coupon Validating Machines-, technologies which are already implemented in the Mumbai Suburban Railways, along with a statistical insight of its drawbacks. Later it provides an insight into our proposed technology MSTTS (M-Suburban Train Ticket System) which uses SMS (Short Messaging Service) as a medium to issue tickets. We provide a comprehensive description of our proposed architecture models along with the possible hurdles in our endeavor, and also real time solutions to it. The scope of this paper is particularly for the -Mumbai Suburban Railways” (MSR) where cost effectiveness is of paramount importance. The challenge was to design a system that would be least costly, as MSR is massively used by middle class people who cannot afford even the slightest of increase in the ticket price. Hence something beyond NFC (Near Field Communication) and Automated Fare Collection (AFC) system (through contactless smart card technology) was needed. The concept and implementation of MSTTS put forth by us is completely “new and original”. |
| Title | Intelligent Tracking System |
| Guide Name | Pro. Ritu Shukla |
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| Abstract | Technologies Used: PHP, MYSQL, AJAX, JQuery, JavaScript, HTML, CSS This project will be designed to provide and track real time data of the customer who will be accessing an ecommerce website to the Salesand Marketing Team. This project will be using built in PHP function to track the IP and feeding the same to a location tracking API (Application Programming Interface) to detect the user’s location including as his City, State and Country along with his local time zone and country code. This project will also provide a real time notification system, which will be achieved by querying the database in real time. The main aim of this project is to help the sales and marketing to generate leads real time. As the customer is browsing a website and once he submits the form which can be placed on the header section of the website so as to intelligently track the user information such as the product the user was viewing while submitting the form. This will enable the sales team to get the detailed information of the user along with the product he was interested in thereby helping the sales team to make an informed decision which will lead to exponential increase in sales and better customer satisfaction. |
| Title | Security Enhancement Using Motion Detection |
| Guide Name | Pro. Deepali Patil |
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| Abstract | In today’s competitive environment security concerns have grown tremendously. In the modern world possession is known to be 9/10THs of the law. Hence, it is imperative for one to be able to safeguard one’s property from worldly harms such as thefts, destruction of property, people with malicious intent etc.
Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication it is now possible to monitor and control the environment to the advantage of the owners of the property.
The latest technologies used in the fight against thefts and destruction are video surveillance and monitoring. By using these technologies it is possible to monitor and capture every inch and second of the area in interest. However so far the technologies used are passive in nature. i.e. the monitoring systems only help in detecting the crime but do not actively participate in stopping the crime while it takes place.
Therefore, the project to detect motion in video stream is an idea to ensure that the monitoring systems not only actively participate in stopping the crime but do so while the crime is taking place. Hence we are developing this system to:
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| Title | Feel Secured |
| Guide Name | Prof.Vinayak D. Shinde |
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| Abstract | Introduction of Smart phones redefined the usage of mobile phones in the communication world. Smart phones are equipped with various sophisticated features such as Wi-Fi, GPS navigation, high resolution camera, touch screen with broadband access which helps the mobile phone users to keep in touch with the modern world. Google came up with an innovative operation system termed as ANDROID. As day to day increase in android, fee and along with internet usage on cell phones to be in touch with world. This gave an opportunity to take a step forward to develop something on women safety and ‘Feel Secured’application will be developed for Google’s Android Mobile Platform. The application is basically divided into two categories One in which, application uses a GPS to track the location information of the women (user) and send those location information to her guardian/parents which will be updated accordingly. Second in which security threat can occur anywhere, the application also answers for personal safety, when the user interacts with the application by pressing the button, then automatically the application generates the geographical information and sends that location information via SMS to a pre-stored emergency contact. This application will be written in Java Programming which runs on Eclipse Integrated Development Kit and android SDK, and the server required will be written in .NET. |
| Title | Implementation of 3D modeling and Artificial Intelligence in Game Development |
| Guide Name | Prof.Ritu Shukla |
| Group Members | 1.Nikhil Latkar[22] 2.Salil Sharma[57] 3.Suraj Tripathi[68] 4.Anshul Verma[69] |
| Abstract | The project is designed to learn application of scripting languages to develop and create a visually stimulating first-person shooter video games. This project will be using built in libraries and scripts created using scripting languages. JavaScript and C#. This project will also provide’ real-time application of artificial intelligence in a virtually simulated video game environment.This project is made with the help of integrated development environment stimulating software Unity 3D engine. Unity is a game development ecosystem: a powerful rendering engine fully integrated with a complete set of intuitive tool and rapid workflows to ante interactive 3D and 2D content. The modelling of the characters, environment’, and objects in the game is implemented with the help of Autodesk Maya 2014. Autodesk Maya is a 3D animation, modelling, simulation; rendering and compositing offer a comprehensive creative feature set for 3D computer animation, modelling, and simulation and rafting on a highly extensible production platform. Maya provides high-end character and effects toolsets along with increased productivity fine modelling, texturing and shader creation task. |
| Title | Pattern Discovery Using Associative Rule |
| Guide Name | Prof.Vinayak D. Shinde |
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| Abstract | Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification. association rule mining, clustering, etc.. Data mining is a complex topic and has links with multiple core fields such as computer science and adds value to rich seminal computational techniques from statistics, information retrieval, machine learning and pattern recognition. Data mining techniques are the result of a long process of research and product development. This evolution began when business data was first stored on computers. continued with improvements in data access, and more recently, generated technologies that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery. Data mining is ready for application in the business community |
| Title | A new approach of data mining and warehousing for comprehensive web based project management software |
| Guide Name | Prof. Anil Chaturvedi |
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| Abstract | The project Management Software will be used to collect the information from the different levels of software development and different people involved in the project and product development. It provides Status and Reports of different levels of project and product of entire day, week and month. It will maintain the details of the client and the developer interaction as all the documentation work will be done by both the client project and the software development team who are working on the client project and product .The client who is giving the project and product to be developed to the company can view the documentation that is prepared .PMS provides a collaborative suite for mining, the data for different people involved in the PMS, from the PMS warehouse where the data is stored. Keywords— Data mining ,Data warehousing , PMS. |
| Title | Network Security and Attack |
| Guide Name | Prof.GayatriDantal |
| Group Members | 1.Shah Hareram M. Jawahar[45] |
| Abstract | Network security has become more important to personal computer users, organizations, and the military. With the advent of the internet, security became a major concern and the history of security allows a better understanding of the emergence of security technology. The Internet structure itself allowed for many security threats to occur. The architecture of the internet, when modified can reduce the possible attacks that can be sent across the network. Knowing the attack methods, allows for the appropriate security to emerge. Many businesses secure themselves from the Internet by means of firewalls and encryption mechanisms. The businesses create an “Intranet” to remain connected to the interplay but secured from possible threats. The entire field of network security is vast and in an evolutionary stage. The range of study encompasses a brief history dating back to internet’s beginnings and the current development in network security. In order to understand the research being performed today, background knowledge of the internet, its vulnerabilities, attack methods through the internet, and security technology is important and therefore they are reviewed. |
| Title | Gesture Recognition |
| Guide Name | Prof.Anil Chaturvedi |
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| Abstract | In the present world, the interaction with the computing devices has advanced to such an extent that as humans it has become necessity and we cannot live without it. The technology has become so embedded into our daily lives that we use it to work, shop. Communicate and even entertain our self. It has been widely believed that the computing, communication and display technologies progress further, but the existing techniques may become a bottleneck in the effective utilization of the available information flow. To efficiently use them, most computer applications require more and more interaction. For that reason, human-computer interaction (HCI) has been a lively field of research in the last few years. Firstly based in the past on punched cards, reserved to experts, the interaction has evolved to the graphical interface paradigm. The interaction consists of the direct manipulation of graphic objects such as icons and windows using a pointing device. Even if the invention of keyboard and mouse is a great progress, there are still situations in which these devices are incompatible for HCI. This is particularly the case for the interaction with 3D objects. The 2 degrees of freedom (DOFs) of the mouse cannot properly emulate the 3 dimensions of space. |
| Title | Web Based Application Programming Computer |
| Guide Name | Prof.RadhaChawre |
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| Abstract | Web-based computing is a model that provides computation, warfare, data awe and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the service, Parallel to this cc incept can be drawn with the electricity grid, wherein end-users consume pitcher without needing to understand the component devices or infrastructure required to provide the ‘-mice. The paper aims to describe centralized compiler which helps to reduce the problems of time. Cost and storage space by making use of the concept of Web-based computing. Also, the trouble of installing the compiler on each computer is avoided. In this paper Code Dom (Code Document Object Model) Technology is used to generate Centralized C# Compiler. The Code Dom allows program to be dynamically created, compiled. and executed at runtime. The Code Dom provides a language independent object model for representing the structure of source code in memory. The System, Code Dom Namespace contains number of classes, interfaces and enumerations. |
| Title | Application Of Association Rule Mining Algorithm |
| Guide Name | Prof.DeepaliPatil |
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| Abstract | Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specialized implementation since the prohibitive nature of the cost associated with extracting knowledge, as well as the lack of suitable declarative query language support. Frequent pattern mining is a foundation of several essential data mining tasks. These facts motivated us to develop original SQL-based approaches for mining frequent patterns. Association rules mining are one of the major techniques of data mining and it is perhaps the most common form of local-pattern discovery in unsupervised learning systems. The technique is likely to be very practical in applications which use the similarity in customer buying behavior in order to make peer recommendations. Association Rules will permit you to discover rules of the kind If X then (likely) Y where X and Y can be particular items, values, words, etc. , or conjunctions of values, items, words, etc. |
| Title | Recognition and risk factors of Anemia along with classifiers |
| Guide Name | Prof.RadhaChawre |
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| Abstract | Health problem is the leading cause of death all over the globe. Today in this ever growing technological world, data analysis is essential in healthcare environment. There is gigantic amount of data available within the healthcare environment. In Healthcare system, it becomes very important to develop an automated tool that is capable of identifying relevant healthcare information. This work focuses on retrieval of updated, accurate and relevant information from Medline datasets using Machine learning approach. Recently, researchers have been investigating the effect of hybridizing more than one technique showing enhanced results in the diagnosis of diseases. However, there is a scarcity of effective analysis tools to discover hidden relationships and trends in data. Therefore, Data Mining should be applied on the healthcare environment’s datasets to extract hidden information. This paper analyzes the prediction of survivability rate of health problem patients using data mining techniques. The analysis had been carried out using various classification algorithms such as ID3 and Rule Induction on the datasets and decision tree for the same has been prepared. In this paper, the various anemic issues had been investigated using data mining techniques. |
| Title | JAVA Remote Application Launch Using JNLP |
| Guide Name | Prof. Reena Ostwal |
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| Abstract | Remote application launching is a phenomenal feature for large scale network where number of node already exists and scalable in nature. The application installation, version control is very difficult to manage in large organizational set up. Considering this problem we proposed the novel approach to use remote application launch using JNLP. J.N.L.P Java Network Launching Protocol provides effective way to launch various applications from web application The interaction of the user with the web is based on the client-server architecture. Consider a situation where an administrator wants to install multiple software’s on every client machines situated in any business enterprise or organization. This approach imposes cognitive load on administrator when he has to visit each system for the installation of software’s and applications. The focus of this project is to develop a common web application where each user visits on its own distributed system and can use the application as per the needs. In this way the user can get rid of installing each software manually on individual system. The proposed system java based web application using JSP (Java Server pages) technology with glassfish server with JNLP protocol provides complete central processing for all software as .-,entice. The main feature of the application to provide various software services to the client user as and when required in the secure environment. The administrator can manage various applications from server. Co> the benefit of the system we thought why not to implement the system for engineering colleges where this task is very difficult to manage in the current scenario. As a part of B.E project we will try to implement the idea for engineering colleges and for the particular enterprise as well. |
| Title | Training and Placement Cell |
| Guide Name | Prof.Namrata Modi |
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| Abstract | Training And Placement Cell is a web based application developed in the windows platform for the training and placement department of the college in order to provide the details of its students in a database for the companies to their process of recruitment provided with a proper login. The Training and Placement Cell contains all the information about the students. The system stores all the personal information of the students, like their personal details, their aggregate marks, their skill set and their technical skills that are required in the CV to be sent to a company. The system is an online application that can be accessed throughout the organization and outside as well with proper login provided. This system can be used as an application for the tpo of the college to manage the student information with regards to placement. This project contains all the details of the students that can be viewed by all the users but can be modified only by the student with an authorized service. |
| Title | Biometric Authentication System Using Human Ear |
| Guide Name | Prof. Ravi Prakash |
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| Abstract | The main aim of the project is to develop a biometric authentication system using the ear. The ear biometric base recognition system is divided into five main parts – image acquisition, preprocessing, and feature extraction, extraction of feature vector and classificationand comparison. The image will be acquired using a digital camera. The photo is then processed, stored and used for the identification process. For every individual, there are some distinct features that can be used for identification. The portion or segment that contains these unique features is known as the Region of Interest. After the raw data is obtained, the Region of Interest (ROI) which is the area containing the ear image is chosen. The final stage involves comparison with the database and then the decision is taken on the basis of the result. |