Title: |
Gas Leakage Detector |
Guide Name: |
Prof. Manjiri Gogate |
Group Members: |
- Aarti pandey
- Manasi more
- Reshma kamble
|
Abstract: |
As we know, security has been major issue in today’s scenario. Accidents are on increasing day by day. Here, we are talking about those accidents that are being occurred due to combustible gases, i.e., LPG, CNG. Frequently we hear, explosion in cylinder of household and vehicles. Several people have been injured and some got dead. Mostly fire accidents happen due to bad quality rubber tube usage or when the regulator is not turned off properly. So we are making this project for security purpose that will detect combustible gases and alert candidates. Now a day’s, LPG Gas leakage detector’s comes in the market with the LPG sensor that only senses any gas leakage and sends a SMS to the mobile no. provided to it and alerts the user via audio or visual indications. The sensor we are using here has excellent sensitivity combined with a quick response time. The sensor can also sense iso-butane, propane, LNG and cigarette smoke. |
Title: |
Real-Time Atomization Of Agricultural Environment For Social Modernization Of Indian Agricultural System |
Guide Name: |
Prof. Manjiri Gogate |
Group Members: |
- Yash Dwivedi
- Ayush Mishra
- Anil Suthar
|
Abstract: |
In the years since its independence, India has made immense progress towards food security. India’s population has tripled, but food-grain production has more than quadrupled. This project is focused on automatisation of the irrigation system for social welfare of Indian agricultural system
For the precise monitoring and controlling of the agriculture field, different types of sensors are used. The irrigation mechanism is monitored and controlled more efficiently by the proposed system, which is a real time feedback control system. ARM LPC2148 Microprocessor is used to implement this system along with GSM technology to inform the end user about the exact field condition. |
Title: |
Accident Avoidance Using V2V Communication |
Guide Name: |
Prof. Manjiri Gogate |
Group Members: |
- Taher.S.Sadriwala
- Rashi.Mirani
|
Abstract: |
The Internet of Things (IoT) is making human life easy in all aspects. The applications it offers are beyond comprehension. IoT is an abstract idea, a notion which interconnects all devices, tools, and gadgets over the Internet to enable these devices to communicate with one another.
IoT finds application in various areas, such as intelligent cars and their safety, security, navigation, and efficient fuel consumption. This project puts forth a solution to achieve the desired outcome of saving precious human lives that are lost to road crashes. In this context, we propose to develop a system, we are designing and deploying a system that not only avoids accidents but also to take action accordingly. This research aims at dealing with the issues that cause fatal crashes and also integrates measures to ensure safety. Life without transportation is impossible to imagine; it makes far off places easy to reach and greatly reduces the travel time. But the problems which surface due to the ever-increasing number of vehicles on the road cannot be ignored. The project aims to eradicate a few of the major reasons of car crashes and also aims to integrate post-crash measures. |
Title: |
Gesture Controlled Smart Automation |
Guide Name: |
Prof. Abhijit T. Somnathe |
Group Members: |
- Shivam Mandal
- Vicky Pawar
- Divyansh Vishwakarma
|
Abstract: |
A Smart Home System gives access to the controllable household appliances and may help render the electricity supply in a household, controlling use and along these lines lessening utilization. It has also proven to be an incredible advantage for the elderly and disabled. A form of home automation systems called assistive domotics provides an extensive feature range that can help the ones with particular accessibility concerns in their homes. These technology systems and assisting equipment have emerged as a viable option for the needy, who would rather stay in their homes than move to assisted living facilities. Home Automation system provide user to select the appliance to be controlled through a display which shows the list of appliances in a drag-able fashion. The user can swipe through the devices by moving a hand in left or right direction and switch the appliance ON or OFF by moving a hand in an upward or downward direction. Hence, the system provides comfort to the specially-abled and simultaneously, it also keeps the caretakers informed. |
Title: |
Solar Power Grass Cutter |
Guide Name: |
Prof. Abhijit T. Somnathe |
Group Members: |
- Debasis Nayak
- Kishan Singh
|
Abstract: |
These days we are facing the problems like pollutions, power cut problem etc. In order to overcome these problems, we have thought about the device, which can be performing its functions without causing any of these problems. So we have thought of doing the project on cutting grass, this uses the renewable source of energy for its operation like solar energy. This project aims at developing a portable solar operated grass cutting device, as there is power shortage. So we have decided to make a solar energy operated device. Solar panel is connected to the battery. Then by connecting inverter to battery DC current is converted to AC current. This will run the AC motor. This motor is connected to blade shaft by the help of belt drive. This will rotate the blade in high speed, cut the grass. This device will help in building of eco-friendly system. Current technology commonly used for cutting the grass is by the manually handled device. In this paper used novel technology. So in this paper we are trying to make a daily purpose robot which is able to cut the grasses in Lawn. The system will have some automation work for guidance and other obstacle detection and the power source that is battery and a solar panel will be attached on the top of the robot because of this reduces the power problem |
Title: |
Regenerative Braking System With Power Monitor |
Guide Name: |
Prof. Abhijit T. Somnathe |
Group Members: |
- Janhavee Khot
- Shubham Nikam
- Shweta Singh
|
Abstract: |
We are slowly reaching the age of electric vehicles. The major issue behind the mass use of electric vehicles is the battery charging time and lack of charging stations. So here we propose a regenerative braking system with a power monitor. This system allows a vehicle to generate energy each time brakes are applied as well as track the amount of power generated. It increases the efficiency of electric vehicles by reducing waste of energy. In electric vehicle regenerative braking mode, the kinetic energy of the wheels is converted into electricity and stored in the battery or capacitor. The stronger the brakes, the more power is generated. We use friction lining arrangement in a brake drum. As a drum rotates the friction lining does not tough the drum. As soon as brakes are applied, the friction lining touches the drum from inside and moves the motors connected to the lining in the same direction, thus generating electricity using motors as dynamo. Also we use a circuitry to track the voltage generated with each press along with the count of brake presses. Thus this system allows for charging car batteries each time brakes are applied, thus providing a regenerative braking system. It moves us another step ahead towards a pollution free transportation system. |
Title: |
Automated Visitor Counter for Pandemic Situation |
Guide Name: |
Prof. Vinay Kumar Singh |
Group Members : |
- Rudranarayan Yadav
- Yash Parmar
- Rajesh Yadav
|
Abstract: |
In this pandemic situation we need to monitor the how much person/people visiting some place like Seminar hall, conference room or Shopping mall or temple.
This project can be used to count and display the number of visitors entering inside any conference room or seminar hall. This is bidirectional counter which means it works in a two way. That means counter will be incremented if person enters the room and will be decremented a person leaves the room. LCD displays this value which is placed outside the room. This system is helpful for counting the number of people in an auditorium or halls for seminar to avoid congestion. Moreover, it can also be used to check the number of people who have come to an event or a museum to watch a certain exhibit.
Micro-controller is a reliable circuit that takes over the task of counting the number of persons/visitors in the room very accurately. We will be showing both the in count i.e. number of people entering the room and out count i.e. number of people exiting the room on a16x2 Alphanumeric LCD. An IR sensor is used to monitor the person entering and exiting the room. The micro-controller does the above job. It receives the signals from the sensors and this signal is operated under the control software which is stored in ROM. |
Title: |
Predicting Student Performance Using Artificial Neural Network |
Guide Name: |
Prof. Vinay Kumar Singh |
Group Members: |
- Kripa Maurya
- Ayush Shah
- Vikas Iyer
|
Abstract: |
During the last few years, the application of artificial intelligence in education has grown exponentially. Educational data mining (EDM) is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational context. While traditional database queries can only answer questions such as ”find the students who failed the examinations”, data mining can provide answers to more abstract questions like ”find the students who will possibly succeed the examinations”. One of the key areas of the application of EDM is the development of student models that would predict student characteristics or performances in their educational institutions.
The main objective of the admission system is to determine candidates who would likely do well in the university or can perform well within the academic year or to produce students of high grade and intelligence. The quality of candidates admitted into any higher institution affects the level of research and training within the institution, and by extension, has an overall effect on the development of the country itself, as these candidates eventually become key players in the affairs of the country in all sectors of the economy.
The inadequacies of the present university admission system, among other factors, have been blamed for this decline. Due to the increasing gap between the numbers students seeking admission and the total available admission slots, there has been a corresponding increased pressure on the process. This pressure has lead to rampant cases of admission fraud and related problems. |
Title: |
Prediction Of Cryptocurrency Price Movement Using Sentiment Analysis |
Guide Name: |
Prof. Sheetal Mahadik |
Group Members : |
- Prakhar Pandey
- Aayush Tiwari
- Atul Dubey
|
Abstract: |
Cryptocurrency is a new and emerging topic in today’s world. Cryptocurrency is digital currency governed by cryptographic protocol which uses Blockchain.
The sentiment in Twitter about a Cryptocurrency has direct or indirect influence on overall market value of that Cryptocurrency. In this project we intend to apply sentiment analysis and supervised machine learning principles to the extracted tweets from Twitter and Reddit posts, and we analyze the correlation between Cryptocurrency price movements and sentiments in tweets. We will explore several algorithms of machine learning using supervised learning to develop a prediction model and provide informative analysis of future market movements. With less precision in predicting the movement of Stock Market, predicting the movement of extremely volatile Crypto-currency market becomes even more challenging. It has its own factors affecting accuracy, these factors include market sentiments, Supply and Demand etc. Can we use Social media posts to accurately score the public’s overall sentiments on a topic and use this to improve existing Cryptocurrency Price prediction models. The sentiment in Twitter about Bitcoin have director indirect influence on overall market value of the Bitcoin. This project is concerned with predicting the volatile price of Bitcoin by analyzing the sentiment in Twitter and to find the relation between them. The tweets of Bitcoin collected from different news account sources are classified to positive or negative sentiments. The obtained percentage of positive and negative tweets are feed to RNN model along with historical price to predict the new price for next time frame. |
Title: |
Covid-19 Chatbot using Universal Sentence Encoder |
Guide Name: |
Prof. Sheetal Mahadik |
Group Members : |
- Akash Singh
- Owais Nomani
- Wakid Khan
|
Abstract: |
During the novel coronavirus (COVID-19) pandemic, institutions like the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) have begun utilizing chatbots to share information, suggest behavior, and offer emotional support. The CDC has named theirs “Clara”. Chatbots are software programs that talk with people through voice or text in their natural language. Some well-known examples include “Alexa” from Amazon, “Siri” from Apple, and “Cortana” from Microsoft. They often come pre-installed on smartphones or home-based smart speakers. In recent years, chatbot use for health-related purposes has increased co nsiderably, from supporting clinicians with clinical interviews and diagnosis to aiding consumers in self-managing chronic conditions. While promising, the use of chatbots may pose safety risks. Chatbots have varied widely in their responses to questions about physical health, suicide, intimate partner violence, substance abuse, and other sensitive conversations. We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and deployed, could help us by sharing up-to-date information quickly, encouraging desired health impacting behaviors, and lessening the psychological damage caused by fear and isolation. Despite this potential, the risk of amplifying misinformation and the lack of prior effectiveness research is cause for concern. Immediate collaborations between healthcare workers, companies, academics and governments are merited and may aid future pandemic preparedness efforts. People are rightly concerned and have many urgent questions. The World Health Organization provides answers to frequently asked questions regarding the coronavirus on their website. However, you may have to search for a while before you have found the right answer to your question. It is vital that people are well informed about current measures. This way we can efficiently limit mass spread. A chatbot could perfectly help with this! This Chatbot helps us to answer questions regarding the coronavirus and other data related to COVID 19 like Vaccine, Daily cases etc. This will be based on artificial intelligence (AI) and natural language processing (NLP). |
Title: |
Sanitization Robot using ultraviolet lights |
Guide Name: |
Prof. Rashmi Maheshwari |
Group Members: |
- Manas Manjrekar
- Hardik Surve
- Mihir Salaskar
|
Abstract: |
Because of the pandemic we have experienced difficult time and one of way to minimizing the spread of the virus is to maintain social distancing and follow guidelines proposed by our government.and other way we can focus on sanitization and sterilization ,It has become an indistinguishable part of our daily life. Talking about sanitization and sterilization there are many way but a moving robot with UV-C light can be a good solution for floor sanitizing.Our Project is to implement an Automated Sanitizer Robot , which utilizes UV-C sanitization to kill bacteria on any flat surface. This process will eliminate any harsh chemicals required to sanitize and clean a surface. With Automated Sanitizer Robot you can replace hazardous chemicals which are use in sanitizers nowadays. |
Title: |
Footsteps Power Generation With RFID Based Charging |
Guide Name: |
Prof. Rashmi Maheshwari |
Group Members : |
- Aniket Singh
- Sahil Govalkar
- Rahul Yadav
|
Abstract: |
Here we propose an footstep power generator system that uses peizo sensors to generate power from human footsteps.As we know the energy canot be created nor destroy but we can transform energy from one form to another.As thousands of step per day is taken by each person. Electrical energy is generated by the footstep taken by the peoples as a result of walking. It is a fact that large amount of energy is lost by each person during routine walk which is the main source for this system.The system allows for a platform for placing footsteps. The peizo sensors are mounted below the platform to generate voltage from footsteps.The sensors are placed in such an arrangement so as to generate maximum output voltage.The current is distributed using RFID cards so that only an authorized person can use the generator for charging.Day by day, the population of the country is increasing and the requirement of the power is also increasing. At the same time the wastage of energy is also increasing in many form and one of them is due to the human locomotion. So, reforming this energy back to usable form is the major solution. |
Title: |
Man Machine Interface |
Guide Name: |
Prof. Khushbu Tikhe |
Group Members : |
- Prashik Kalsulkar
- Praveen Kesari
- Kaustubh Palande
|
Abstract: |
In this project we present an approach for Man Machine Interface(MMI), where we have tried to control the mouse cursor movement and click events of the mouse using hand gestures. Hand gestures were acquired using a camera based on color detection technique. This method mainly focuses on the use of a Web Camera to develop a virtual Man Machine Interface device in a cost effective manner.
In this project, we have tried to control mouse cursor movement and click events using a camera based on colour detection technique. Here real time video has been captured using a Web- Camera. The user shows hand fingers to provide information to the system. Individual frames of the video are separately processed. The processing techniques involve an image subtraction algorithm to detect colours. Once the colours are detected the system performs various operations to track the cursor and performs control actions, the details of which are provided below. No additional hardware is required by the system other than the standard webcam which is provided in every laptop computer.
The Man–Machine Interface (MMI) provides the interface that enables a user to operate a machine tool, edit a part program, perform the part program, set the parameters, and transmit data. In this chapter, the function and components of the MMI will be addressed, and programming methods such as CAPS (Conversational Automatic Programming System) will be described. In addition, for designing CAPS, the main functions and components of CAPS will be described. |
Title: |
Movie Recommendation Using machine learning |
Guide Name: |
Prof. Khushbu Tikhe |
Group Members: |
- Jaldeep Kalsariya
- Gaurav Poojari
- Yasir Khan
|
Abstract: |
Recommendation systems are an important part of suggesting items especially in streaming services. For streaming movie services like Netflix, recommendation systems are essential for helping users find new movies to enjoy. In this paper, we propose a deep learning approach based on autoencoders to produce a collaborative filtering system which predicts movie ratings for a user based on a large database of ratings from other users. Using the Movie Lens dataset, we explore the use of deep learning to predict users' ratings on new movies, thereby enabling movie recommendations. To verify the novelty and accuracy of our deep learning approach, we compare our approach to standard collaborative filtering techniques: k-nearest-neighbor and matrix-factorization. The experimental results show that our recommendation system outperforms a user-based neighborhood baseline both in terms of root mean squared error on predicted ratings and in a survey in which users judge between recommendations from both systems. |
Title: |
No-Line Cart |
Guide Name: |
Prof. Samita Bhandari |
Group Members : |
- Vishwesh Virag Waingankar
- Siddharth Hasmukh Kareliya
- Sagar Shashikant Sakpal
|
Abstract: |
A supermarket or a Hypermarket is a place where wide variety of product items are available. These products can be food, beverages, or any household products. Shopping at these places have become easier and lifesaver for people, if considering time as one of the important factors. Currently, every person in the mall purchases majority of the product placed in the trolley. With that, the person also has to stand in a queue for scanning and billing process at the counter, where in the billing process, an employee scans each and every product’s barcode and bills it to final payment. This can be a lengthy process and even worse on holidays, special offers or on weekends. Out of all these things, people also get confused at the counter while comparing the total price of all the products with the budget in the pocket before billing. To overcome all these problems, a smart way to shop in malls has been developed using Arduino Uno Board. With this system each product will be having RFID tags instead of barcodes. The Smart Trolleys will feature a RFID Reader, LCD Screen and Keypad. When a person places any products inside the trolley, the RFID Reader will scan the tags on the products, and the details of the products i.e., product’s name, price and expiration date, displayed on the LCD Screen. The total cost will be added to the final checkout bill. The bill is stored in Micro-controller’s (Arduino Board’s) memory. Whenever there is multiple quantity of the same product i.e., 4 packets of a biscuit or 2 packets of dry-fruits, the Keypad mounted with this system will help to Insert and edit the number of quantities of the particular product item. With this system there is no need for customers to wait in the queue for the scanning of the product items. It will work as on a normal trolley. The objective of the proposed system is to provide a technology oriented, low cost, easily handled and efficient system for assisting shopping in person. Arduino IDE Software is used for programming the Arduino Uno Board and Proteus Software is used to check the simulation results before the hardware implementation. |
Title: |
Multimedia Recommendation System based on Facial Emotion Recognition |
Guide Name: |
Prof. Tanvi Thakur |
Group Members : |
- Shivalkar Shreya Pramod
- Yadav Shweta Kumari Lallan
|
Abstract: |
Facial Expressions are derived from the relative position or motion of muscles that lie under the skin. According to certain controversial theories, these also convey the emotional state of the individual at a given time. They are indeed controversial because one can easily fake their expressions. But in a world where communication is one of the most important acts, facial expression is the mean of non-verbal communication. Recognition of facial expressions of users allows researchers to build context-aware applications that adapt according to the users' emotional states. multimedia content recommendation system that understands a user's current emotional state (happiness, sadness, fear, disgust, surprise, and anger) through facial expression recognition and recommends multimedia content to the user. This system will use the user’s facial expression to recommend him entities like movies or songs. Hence creating a recommendation system that will require fewer user data and should still be able to work nicely as user requirement might not be related to his past but with the present that is signified by his/her expressions. The algorithm implemented would prove to be more proficient than the existing systems. Moreover, on a larger dimension, this would render salvage of time and labor invested in performing the process manually. The overall concept of the system is to recognize facial emotion and recommend multimedia efficiently. |
Title: |
IOT Social Distancing And Monitoring System For Queue |
Guide Name: |
Prof. Rohini Rathod |
Group Members : |
- Krunal Luste
- Param Sharma
- Prateek Rai
|
Abstract: |
The COVID-19 pandemic has cause significant disruption to the daily life around the world. Distance checking technology and use of sensors has improved drastically. Social distancing is most needed in Banks, Public Officers, Malls, Schools etc. After this critical situation the decision that take to make Social Distancing and Monitoring System. To ensure the social distancing in queue, the System will help a lot in decreasing manpower and giving out more consistent result. In market there are many sensors and devices available to check the distance. If any 2 individuals are found having less than 3 feet distance between them , the System which design its instantly sounds a buzzer and alert to inform about the violation. Also it sends alert of these violations along with camera picture using wifi over Iot to inform the higher authorities/head office to update them about violations with proof so instantly disciplinary action can be taken. The System is follow the command and watch the distance between people standing in the desired queue, thus constantly helping people maintain distance and also their health. |
Title: |
IOT Based Electric Vehicle Charging Station |
Guide Name: |
Prof. Aarti Naik |
Group Members : |
- Aadarsh Mishra
- Rakesh Shinde
- Venkatesh Anbumani
|
Abstract: |
Order to increase the efficiency of the charging station and to reduce the charging time we are making the charging station by utilizing the renewable and nonrenewable energy to increase its efficiency and with fast charging technology through wired or wireless modes to reduce the charging time.
Hence their accelerated growth under the approach of a smarter grid can place a considerable amount of stress on the existing power grid without effective scheduling mechanisms. The efficiency of the charging station and charging speed can be increased by installing charging ports or wireless charging pads in the parking of hotel parks, theatre, malls and in traffic signals.
Overcome this problems, The charging station should have a separate battery pack from which the electric vehicles are to be charged by using DC to DC rapid charging technology, Thus the efficiency of the charging station is increased with reduced charging time. The efficiency of the charging station and charging speed can be increased by installing charging ports or wireless charging pads in the parking of hotel, parks, theatre, malls and in traffic signals. |