Shree L. R. Tiwari College of Engineering

Catalog of BE Projects

Title: Gas Leakage Detector
Guide Name: Prof. Manjiri Gogate
Group Members:
  1. Aarti pandey
  2. Manasi more
  3. 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:
  1. Yash Dwivedi
  2. Ayush Mishra
  3. 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:
  1. Taher.S.Sadriwala
  2. 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:
  1. Shivam Mandal
  2. Vicky Pawar
  3. 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:
  1. Debasis Nayak
  2. 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:
  1. Janhavee Khot
  2. Shubham Nikam
  3. 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 :
  1. Rudranarayan Yadav
  2. Yash Parmar
  3. 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:
  1. Kripa Maurya
  2. Ayush Shah
  3. 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 :
  1. Prakhar Pandey
  2. Aayush Tiwari
  3. 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 :
  1. Akash Singh
  2. Owais Nomani
  3. 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:
  1. Manas Manjrekar
  2. Hardik Surve
  3. 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 :
  1. Aniket Singh
  2. Sahil Govalkar
  3. 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 :
  1. Prashik Kalsulkar
  2. Praveen Kesari
  3. 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:
  1. Jaldeep Kalsariya
  2. Gaurav Poojari
  3. 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 :
  1. Vishwesh Virag Waingankar
  2. Siddharth Hasmukh Kareliya
  3. 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 :
  1. Shivalkar Shreya Pramod
  2. 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 :
  1. Krunal Luste
  2. Param Sharma
  3. 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 :
  1. Aadarsh Mishra
  2. Rakesh Shinde
  3. 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.
Title: Handwritten Character and Digit Recognition Using Convolution Neural Network
Guide Name: Prof. Sheetal Mahadik
Group Members:
  1. Patel Priyank Sanjaybhai
  2. Shinde Roshan Ravindra
  3. Raut Siddhesh Jaywant
Abstract: The need for fast and accurate text entry on small handheld computers has led to a resurgence of interest in on-line word recognition using artificial neural networks. Classical methods have been combined and improved to produce robust recognition of hand-printed English text. The central concept of a neural net as a character classifier provides a good base for a recognition system; long-standing issues relative to training, generalization, segmentation, probabilistic formalisms, etc., need to resolved, however, to get excellent performance. A number of innovations in how to use a neural net as a classifier in a word recognizer are presented: negative training, stroke warping, balancing, normalized output error, error emphasis, multiple representations, quantized weights, and integrated word segmentation all contribute to efficient and robust performance.
Title: Smart Energy Management System
Guide Name: Prof. Samita Bhandari
Group Members :
  1. Arth shah
  2. Shubham Upadhyay
  3. Devang singh
Abstract: The world’s demand for electrical energy is continuously increasing due to modern lifestyle and advanced technologies. The conventional energy resources are diminishing and are at the edge of extinction, moreover their prices are rising. This leads to the need for alternative energy sources to satisfy the demand. The solar is one of the alternative source as it is abundantly available, economical and helps in reducing green house effect. Focusing on the variations in the usage of electric energy during the day time and night time, we can generate the energy required for driving the appliances during the time  when low energy is consumed by the house (especially during night or during winters) and thus can change the lap of electricity tariff which finally result in reduced electricity bill. Many companies now have started developing dc home appliances- those appliances which will run on dc current. Also the rapid growth of direct current loads in buildings have led researchers to reconsider whether buildings should be wired with DC circuits to reduce power conversions and facilitate a transition to efficient DC appliances. Our project Smart Energy Management System (SEMS) for Domestic use focuses on the process of development of the system that brings together the modern day technologies to reduce and eliminate consumer dependence on conventional electric grid and energy resources.
Title: Emotion Recognition Using Wireless Signals
Guide Name: Prof. Khushbu Tikhe
Group Members:
  1. Bandana Pal
  2. Akshay Padgaonkar
  3. Pooja Jadhav
Abstract: This project demonstrates a new technology that can infer a person’s emotions from RF signals reflected off his body. This technology transmits an RF signal and analyses its reflections off a person’s body to recognize his emotional state (happy, sad, etc.). The key enabler underlying this technique a new algorithm for extracting the individual heartbeats from the wireless signal at accuracy comparable to on body ECG monitors. The resulting beats are then used to compute emotion dependent feature which feed a machine learning emotion classifier. Existing approaches for inferring a person’s emotions either relay on the audio-visual cues, such as images and audio clips or require a person to wear psychological sensors like an ECG monitors. Both approaches have their limitations. Audio-visual techniques leverage the outward expression of emotion, but cannot measure inner feelings. The second approach recognize emotions by monitoring the physiological signals that change with our emotional state, e.g., ECG monitors-to measure the signals and correlate their changes with joy, anger, etc. This approach is more correlated with the persons inner feeling since it taps into the interaction between the autonomic nervous system and heart rhythm. However, the use of body sensors is cumbersome and can interfere with user activity and emotions, making this approach unsuitable for regular usage. This technology is emotion recognition system that relies purely on wireless signals.Our design uses RF signals to sense emotions. specially signals reflect off the human body and get modulated with movements. Recent research shown that such RF reflection can be used to measure a person’s breathing and average and heart rate without body contact. An emotion classification subsystem, which compute emotion-relevant feature from phycological signals-i.e. the person’s breathing pattern and heartbeat -and uses these features to recognize the person’s emotional state. It classifies the person’s emotional state according to the known arousal-valence model into one of four basics emotions: angry, sadness, joy, and pleasure.
Title: Water Overflow Detection System
Guide Name: Prof. Manjiri Gogate
Group Members :
  1. Manjul De
  2. Siddhi Sawant
  3. Gayatri Shinde
Abstract: Water is one amongst the basic necessary survival elements which we need in our day to day life. So saving it from getting wasted must be our primary concern. We must have observed in many of the societies in India due to negligence overflow of water takes place from the overhead water tank. Earlier either there was no such method where we could detect the overflow of water from the overhead tanks  or there was just an alarm system implemented where the alarm would just indicate when the water tank is almost empty or when the tank is full. Although this system is quite a bit efficient but there are still some major drawbacks such as, it is still unable to prevent water overflow, it also requires human involvement thus it is time consuming and our major purpose of saving water is still not solved. But if a fully controlled water overflow detection system is installed it would serve our basic purpose of saving water in every society. Thus everyday a good amount of water would be saved which can be used for other purposes in the society which otherwise would have been wasted unnecessarily. Everyday an adequate amount of water would be received by every flat member.
Title: Voice Controlled Robotic Car
Guide Name: Prof. Vinay Kumar Singh
Group Members:
  1. Omkar Desai
  2. Shrikar Desai
  3. Kunal Naik
Abstract: The aim of our project is to make a Voice Control Robot Car. The working is based on Arduino micro-controller, motor drivers, a Bluetooth module. Arduino is an open-source hardware (single-board microcontrollers and kits) used for building digital devices. The idea is to first design the Hardware of the Robot Car and then code the entire working using our previous knowledge of programming. The code will then be simulated on software (IDE) and later be interfaced with the hardware. The coordination of control unit with Bluetooth gadget is accomplished utilizing a Bluetooth module to catch and read the voice orders. The controlling remote is a smart android device with Bluetooth Application. We picked this as our project as robotics has become a major part of our everyday lifestyle and also have a wide scope in the engineering field. It plays a vital role in the development of new technology. Robotic assistants reduces the manual efforts being put by humans in their day-to-day tasks. In this paper, we develop a voice-controlled personal assistant robot. The human voice commands are taken by the robot by it’s own inbuilt microphone. This robot not only takes the commands and execute them, but also gives an acknowledgement through speech output. This robot can perform different movements, turns, wakeup/shutdown operations, relocate an object from one place to another and can also develop a conversation with human. The voice commands are processed in real-time, using an offline server. The speech signal commands are directly communicated to the server using a USB cable. The personal assistant robot is developed on a microcontroller based platform. Performance evaluation is carried out with encouraging results of the initial experiments. Possible improvements are also discussed towards potential applications in home, hospitals, car systems and industries.
Title: Iot Based Smart Refrigerator For Food Spoiler Detection
Guide Name: Prof. Abhijit T. Somnathe
Group Members :
  1. Punit Mishra
  2. Omkar Khamkar
  3. Prakash Chowdhary
Abstract: Food safety and hygiene is a major concern in order to prevent the food wastage. The Quality of the food needs to be monitored and it must be prevented from rotting and decaying by the atmospheric factors like temperature, humidity and dark. Therefore, it is useful to deploy quality monitoring devices at food stores. These quality monitoring devices keep a watch on the environmental factor that cause or pace up decay of the food. Later, the environmental factors can be controlled like by refrigeration, vacuum storage etc. In this project, a similar food quality monitoring device will be designed that will keep watch of environmental factors like temperature, humidity, alcohol content and exposure to light. The device is built on UNO which is a popular. The Arduino board is interfaced with various sensors like DHT-11 to monitor temperature and humidity, MQ3 to detect alcohol content and to measure exposure to light. This is an IoT device and sends the measured sensor data to an IoT platform. The Wi-Fi Modem is interfaced with the Arduino to connect it to the internet via Wi-Fi router. The data is also displayed on a character interfaced with the Arduino UNO platform used for logging and monitoring of sensor data is Freeboard.io. With the power of Internet of Things, the environmental factors affecting the food storage can be monitored from anywhere, anytime and from any device. Many such devices can be installed at a location for better monitoring and quality control. The Arduino Sketch running over the device implements the various functionalities of the project like reading sensor data, converting them into strings, displaying them on character LCD and passing them to the IoT platform.
Title: Contactless System With Mask And Temperature Detection
Guide Name: Prof. Sheetal Mahadik
Group Members :
  1. Namrata Jayesh Ravat
  2. Kunal Yogendra Singh
  3. Suvita Kailash Yadav
Abstract: There are number of automatic access control systems and mechanism available in market to safeguard our premises from unauthorized personnel and allow only authorized entries to our secure premises. Out of different categories of access control mechanisms like using Access Cards, Biometrics, Wristbands, Mobile Credentials we are using latest mechanism of identifying people and restricting their access or allow based on customer demands which is very much requirement of today’s market and trends i.e. access control by means of users face recognition wearing mask or not and based on temperature level of user’s body. If user is not wearing mask or having elevated body temperature then their access should be restricted and raising alarm for that particular door to notify the workplace people to avoid chances of spreading virus or disease if user may have internally but not known. By this means we can reduce the probability of spreading virus and it’s also a contactless system hence safe for users as well. This project is divided into two parts: creating a database, and training and testing.
Title: Contactless Oxymeter
Guide Name: Prof. Rashmi Maheshwari
Group Members:
  1. Kanojia Aashish
  2. Pandya Aakash
  3. Mishra Ritu
Abstract: Pulse Oxymetry is universally used for monitoring the pulse rate and oxygen level in person body. But the research is to improve and replace the conventional probe based oxymetry system with a contactless oxymetry system using signal processing techniques, reflectance technology and RGB camera based on Photoplethysmograhy and Spectrophotometry. The ratio of absorption and reflection of particular wavelength is calculated and calibrated to establish the measurements of arterial oxygen saturation (SpO2). The range of oxygen level in healthy person is between 92-99%. Contactless camera based photoplethysmography interrogates shallower skin layer than conventional contact probes, either transmissive or reflective this raises question on the calibratability of camera based pulse oxymetry system. Main objective is to make device touchless for secure examine in this pandemic situation.
Title: Touchless Fingerprint Sensor
Guide Name: Prof. Manjiri Gogate
Group Members:
  1. Vedant Jadhav
  2. Nikhil Kadu
  3. Santraj Maurya
Abstract: In today’s pandemic we know that the Corona virus can spread by air as well as contact. So in many companies, to avoid these, students are making touch less sanitizer kit and many more. In that security of things is important. We use fingerprint lock, iris scanner lock, or any other biometric lock. Specially, due to Corona, we maintain social distancing and hygiene at everywhere. One of the best applications is ‘Attendance System’. Now attendance is digitally done in many fields. There are lots of people are working in bank, government sector, hospital, etc. We mostly used fingerprint lock because it is cheap but today’s date it is not safe, so we try to use touch less fingerprint lock to avoid contact between screen and fingers. As like Iris scanner we can use high resolution IR scanner to scan fingers from a particular distance to make hygiene. It will keep us safe and protected.
Title: Human Following Robot Using Arduino Uno
Guide Name: Prof. Abhijit T. Somnathe
Group Members:
  1. Dhiren Sati
  2. Rishi Pandey
  3. Sanket Avkirkar
Abstract: Robotics industry has evolved so much and as been a revolution for humans to help with certain tasks. Each year there are findings to create a robot that behaves as humans. However in this article we talk about person following robot that help humans in  various fields. In various fields with harsh environment such as underground mining, war-zones, medical, construction, space exploration etc. the work done by one is extremely dangerous. Life of individuals assisting are also put at risks. Also tasks performed by humans have its own limitations in many ways. These drawbacks can be easily avoided by using a robot Having a robot assistant surely seems like a dream for many of use, a robot that can help us carry items, accompany us at shopping mall, or while during a jogging session at the park. There are so many advantages of having such robots that in future it will most likely be a trend. These robots can be also used in hospitals to help nurses or to bring medical supplies to injured soldiers in a war-field. These robots can help assists humans in industries, mining activities and during interplanetary explorations. Robots can be used in carrying out repetitive and time-consuming tasks efficiently These robots uses ultrasonic and infrared sensors which helps them to move with respect to people and objects in their surroundings. Example of a prototype of a person following robot.
Title: Solar Powered Water Purification And Plastic Collection System On A Boat
Guide Name: Prof. Pragati Dwivedi
Group Members:
  1. Gowda Archana Gopal
  2. Jadhav Vrushali Ramchandra
  3. Mamta Kunhiraman
Abstract: Water pollution and plastic pollution has become one of the major concerns in the world. With the increase in population results in increase in plastic and water pollution, this results in scarcity of water. The efficient treatment of waste water management is a problem that is faced by many countries. Even with the existing water resources the major problem that people in the villages or disaster-prone areas-thus leading to electricity issues- are facing is having clean water for domestic purposes. So, we have come up with a design, which would help the villagers to collect water and clean the surfaces of the water resources in the village using solar power and a system to purify the water within the system. The purification system uses slow sand filtration method and activated carbon, thus not being a complicated system but efficient as well.
Title: Plant Soil Moisture and Ph Sensing Alarm Using 8051
Guide Name: Prof. Abhijit T. Somnathe
Group Members:
  1. Sagar Dalvi
  2. Pravesh Yadav
  3. Sujeet Deshmukh
Abstract: This project is really helpful for farmers. Soil moisture level detector and PH value measures project can be used in the greenhouse or farms to detect the water contents for the moisture contents of the soil as well as PH value of the farm. Various blocks are important components used in this project are power supply, Soil moisture sensor, microcontroller, LCD display, Buzzer .We  have used 8951 microcontroller which is from the 8051 series. The main advantage of this project is that this is low-cost soil moisture detector project. This soil moisture level detector project is easy to use. This is very useful in farm, greenhouse, plant nursery, house garden. Plants need water as well as good soil(pH rich) to ensure proper plant growth. It becomes difficult to monitor these things manually each time to ensure proper growth and any ignorance may lead to bad plant health or plant decay/death. Here we propose an 8051 microcontroller base system constantly check for these values. The system microcontroller ensures the plant gets proper moisture and pH by continuously monitoring for it. It also displays this on a display screen for user to monitor. Also the system is equipped with an alarm which sounds a buzz in case the values fall below a certain limit which may be bad for plant health. Thus the system ensures proper plant health using soil moisture and pH sensing.
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