Shree L. R. Tiwari College of Engineering

Catalog of BE Projects

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Title Circularly Polarized Spiral Antenna for Defence Application (1-18GHz)
Guide Name PROF. ABOLI MOHARIL (ME EXTC)
Group Members
  1. JOSHI NIDHI CHIRAG
  2. YADAV AMIT RAMESH
  3. SINGH PARUL RAMESH
  4. PANDEY ANIRUDDH SUSHIL
Abstract This project aims to design and develop “Circularly Polarized Spiral Antenna for Defence Application” that can receive signals from 2 GHz to up to 18 GHz in order to achieve its intended goal. It is decided that a spiral antenna with an Archimedean topology will be modelled using Ansus HFSS Antenna Simulation tool for modelling. An antenna prototype to be built and measured to see if it meets all specifications. The antenna gain, voltage standing wave ratio and output return losses and radiation patterns for various frequencies are to be measured, compared, and analysed.
Title “IOT BASED FOREST TRACKER USING LORA MODULE”
Guide Name Prof.  Aparna Majare (M.E.EXTC)
Group Members
  1. 04 – Chakrawarti Nikita Virendrakumar
  2. 26 – Pal Jaykumar Rajaram
  3. 38 – Shaikh Fahad Rafiuddin Humera
  4. 39 – Shaikh Fahim Chand
Abstract
  • The escalating challenges posed by deforestation, illegal logging, and forest fires necessitate innovative technological solutions for effective forest monitoring and conservation. This project introduces an IoT-based Forest Tracker system employing Long Range (LoRa) communication technology to address these environmental concerns. The proposed system integrates a network of sensor nodes strategically deployed across the forested area, collecting real-time data on various environmental parameters.
  • The core components of the Forest Tracker system include IoT-enabled sensor nodes, LoRa communication modules, a central gateway, and a cloud-based server. The sensor nodes are equipped with sensors to measure crucial parameters such as temperature, humidity, soil moisture, and smoke concentration. The LoRa modules facilitate long-range communication, enabling seamless data transmission between the sensor nodes and the central gateway.
  • The proposed IoT-based Forest Tracker offers several advantages, including real-time monitoring, early detection of environmental disturbances, and reduced response time in case of emergencies. Furthermore, the system promotes sustainable forest management by providing valuable data for informed decision-making.
Title “Surveillance System Using Robotic Car”
Guide Name Mrs.Swapna Patil (M.E.EXTC)
Group Members
  1. Avinash Dubey
  2. Shubham Tiwari
  3. Prapthi Shetty
Abstract
  • This project introduces a novel approach to enhance surveillance capabilities through the integration of a robotic car into a smart surveillance system. The Surveillance System Using Robotic Car (SSURC) leverages the mobility and adaptability of a robotic vehicle to address challenges in traditional static surveillance methods. The system is designed to navigate diverse terrains autonomously while capturing and transmitting real-time video and sensor data to a central monitoring station.
  • Key components of the SSURC include the robotic car, sensor suite, wireless communication modules, and a centralized control station. The robotic car patrols predefined routes or navigates to specific points of interest, continuously capturing video feeds and sensor data. The wireless communication modules facilitate seamless transmission of this data to the central control station.
  • In conclusion, the Surveillance System Using Robotic Car introduces a flexible and efficient solution to enhance surveillance capabilities. By combining the mobility of a robotic car with advanced sensor technologies and autonomous navigation, the system provides a versatile and adaptable platform for comprehensive surveillance in a variety of scenarios, ultimately contributing to improved security and situational awareness.
Title : Multimodal Attendance system
Guide Name : Mrs. Snehal Shah(B.E-EXTC)
Group Members :
  1. Omkar Bhoir
  2. Sahil Gothankar
  3. Kushar Manna
  4. Amey Parab
Abstract :
  • This paper presents the design and implementation of a Multimodal Attendance System (MAS) that integrates the robustness of biometric authentication with the convenience of facial recognition technology. The system aims to provide a secure, accurate, and efficient solution for attendance tracking in diverse settings such as educational institutions, corporate environments, and other organizations.
  • Key components of the MAS include biometric sensors, high-resolution cameras, a central processing unit, and a secure database. During the enrollment process, users register their biometric data, including fingerprints, iris patterns, and facial features. The system securely stores this information in a centralized database, employing encryption protocols to protect sensitive data.
  • The proposed Multimodal Attendance System offers several advantages, including increased accuracy, reduced chances of false positives or negatives, and improved user experience. By combining the strengths of multiple biometric modalities, the system provides a robust and reliable solution for attendance management, contributing to enhanced security and operational efficiency in various sectors.
Title : Smart waste aggregator and route planner
Guide Name : Mrs. Shruti Patil (ME EXTC)
Group Members :
  1. Gupta Rahul Sunil
  2. Kansara Shubh Gaurang
  3. Mistry Dhrumil Deepak
  4. Peddinti LSD Priyanka
Abstract :
  • This project introduces a Smart Waste Aggregator and Route Planner (SWARP) designed to revolutionize urban waste management systems. SWARP employs advanced technologies, including Internet of Things (IoT), data analytics, and route optimization algorithms, to enhance the efficiency of waste collection processes in urban environments. The system aims to address the challenges associated with traditional waste collection methods, such as inefficient routes, delayed pickups, and resource wastage.
  • Key features of SWARP include dynamic route optimization, predictive maintenance, and real-time monitoring. The dynamic route optimization algorithm continually adapts collection routes based on the fill levels of waste bins, ensuring that collection trucks follow the most efficient paths. Predictive maintenance capabilities enable the system to identify and address potential issues with waste bins or collection vehicles before they lead to operational disruptions.
  • In conclusion, the Smart Waste Aggregator and Route Planner represents a significant advancement in urban waste management. By leveraging IoT sensors and intelligent algorithms, SWARP optimizes waste collection processes, reducing operational costs, minimizing environmental impact, and enhancing overall efficiency in urban waste management systems. The system presents a scalable and adaptable solution for cities and municipalities striving to achieve smarter, more sustainable waste management practices.
Title : Driver Emotion Recognition for Accident Prevention
Guide Name : Mrs. Sweta Padman (M.Tech  EXTC, P.hd Pursuing )
Group Members :
  1. Doshi Anuj Deven
  2. Dube Priyanshu Sanjay
  3. Mandal Deepak Baidyanath
  4. Singh Gautam Virendra
Abstract :
  • This paper introduces a novel approach to enhance road safety by incorporating Driver Emotion Recognition (DER) technology into vehicle safety systems. The system leverages advanced cognitive computing techniques to monitor and analyse the emotional states of drivers in real-time, aiming to prevent accidents caused by impaired cognitive functions or emotional distress. The integration of DER into intelligent transportation systems represents a proactive measure towards mitigating human-related factors in road accidents.
  • Key features of the proposed system include real-time monitoring, early detection of emotional distress, and adaptive intervention strategies. The system continuously analyses the driver’s facial expressions, physiological responses, and voice patterns to assess their emotional well-being. In the event of a detected anomaly, such as signs of drowsiness or heightened stress, the system triggers adaptive interventions, such as audible alerts, seat vibrations, or automated adjustments in driving assistance features.
  • In conclusion, the integration of Driver Emotion Recognition into vehicle safety systems represents a significant stride towards proactive accident prevention. By leveraging cognitive computing and advanced sensor technologies, the system enhances road safety by identifying and addressing potential cognitive impairments or emotional distress in real-time. This research contributes to the development of intelligent transportation systems that prioritize not only vehicular safety but also the mental well-being of drivers, ultimately reducing the occurrence of accidents caused by human-related factors.
Title : IOT Based Fire Surveillance Robot
Guide Name : Mrs. Namrata Kulkarni (M.E.EXTC)
Group Members :
  • Yash Mhamunkar
  • Bhavya Solanki
  • Anmol Shaikh
  • Tushar Khurpe
    		•
    Abstract :
    • Firefighting is a momentous and perilous job. The fire has to rapidly & safely extinguish by a firefighter to prevent more damage and destruction. It is desirable to design a robot that can detect fire and extinguish the fire as quickly as possible.
    • In this study, a robot has developed that can extinguish the fire, can work manually by using a mobile phone. Besides, the Robot can transmit real-time data using IoT gateway so that the real scenario can be observed on electronics devices that the user has. In addition, a pumping motor is being used to spray water, controlled by the web. This robot can detect human presence who is stuck in fire placed by this project.
    Title : INTERFERENCE MANAGEMENT USING RATE SPLITTING MULTIPLE ACCESS
    Guide Name : Mr. Sandeep Dwivedi (P.hd pursuing, M.E.EXTC)
    Group Members :
    1. Shravan A. Kumar
    2. Bhavesh P. Dubey
    3. Vivek R. Kalura
    4. Rahul R .Yadav
    Abstract :
      Rate Splitting Multiple Access (RSMA) relies on the split of messages and the non-orthogonal transmission of common messages decoded by multiple users, and Private messages decoded by their corresponding users. .RSMA has been shown to generalize and subsume as special cases four existing MA schemes, namely, orthogonal multiple access (OMA), physical-layer multicasting, space division multiple access (SDMA) based on linear precoding (currently used in the fifth generation wireless network–5G),and non-orthogonal multiple access (NOMA) based on linearly pre-coded) superposition coding with successive interference cancellation (SIC).
    Title : Self-Driving Car
    Guide Name : Prof. Aboli Moharil(M.E.EXTC)
    Group Members : Sai Ashish Konchada Saloni Ghorpade Jiten Telang Prathamesh Kewat
    Abstract : ABSTRACT The project is designed to drive a car by itself without human interference implementing technologies such as Internet of Things and Artificial Intelligence. The Pi camera records and streams the live video onto the Raspberry pi where the data is processed and Machine Learning is applied to detect lanes, traffic signs and obstacles. Based on the detection, the signals are sent to the Arduino to control the motor and steering of the vehicle. The self-driving car aims to prevent accidents, promote safer driving, protect the environment and travel efficiently.
    Title : IOT Based Green House Monitoring System
    Guide Name : Prof. Zainab Mizwan (M.E.EXTC)
    Group Members : Dhiraj Gupta Gopal Gupta Akash Gupta Amit Gupta
    Abstract : ABSTRACT   The project is designed to maintain greenhouse condition with in a desirable limit suitable for farming by making a smart greenhouse system that is equipped with various sensors like temperature, humidity, light and gasses which will extract the data and send to the microprocessor. user will be able to observe these data through IOT platform such as Adafruit or blynk server. A Threshold value will be assign to each sensors, in case any sensors reading goes beyond the threshold value ,respective action will be taken by microprocessor to maintain the greenhouse condition by means of controlling exhaust fan, water pump, artificial light etc.
         
    Title : Women Security System
    Guide Name : Prof. Snehal Shah (M.E.EXTC))
    Group Members : Aayush Singh Aditya Patil Nilesh Yadav Hemanth M Kamath
    Abstract : ABSTRACT   The world is becoming unsafe for women in all aspects. The crimes against women are increasing at a higher rate. The employed women are feeling unsafe due to increasing crimes. This project proposes a quick responding mechanism that helps women during trouble. When someone is going to harass, she can press the button that is attached to the device, and the location information is sent as an SMS alert to few pre-defined emergency numbers in terms of latitude and longitude. The ESP32 is used. It is interfaced with a push button, a GPS module, a GSM modem, and a buzzer circuit. If the switch is pressed, it activates the buzzer circuit to capture the attention of the people nearby for help. The program is developed in “C” language to demonstrate the system’s capability in providing real-time response. Thus the girl can be safe and she can feel protected.
    Title : Mmwave MIMO Analog beamforming for 5G cellular Network
    Guide Name : Prof. Sandeep Dwivedi
    Group Members : Saurabh Pandey Neeraj Sharma Abhishek Jaiswar Sadhana Yadav
    Abstract : ABSTRACT   5G-NR (New Radio) specifications have enabled broadband mmWave deployments that can leverage analog beamforming to overcome propagation losses at bands such as 30GHz. We describe how analog beamforming at the BS and at the UE side has significantly impacted the 5G-NR specifications, system design and system performance. We describe the newly introduced set of beam management procedures in 5G-NR that allows such a UE to access the network and maintain connectivity. We observe from simulation results that (in a SU-MIMO system) given a fixed array size, increasing the spatial resolution of the analog beams bring little benefit. However, increasing the array size without increasing the number baseband antenna ports (transceivers) brings significant system gains. We also provide results that show analog beamforming in simulation(MATLAB) is particularly beneficial in dense deployments with above rooftop BS heigh.
         
    Title : Design Of Microstrip Patch Antenna For WLAN Application
    Guide Name : Prof. Madhuri Kadam (M.E.EXTC)
    Group Nitesh Pawar
    Members : Raju Gupta
    Pravin Singh
    Manish Bharati
    Abstract : ABSTRACT   The main objective is to design and analysis the micro strip patch antenna operating at 2.4 GHz frequency for wireless communication. Microstrip Patch antennas are widely used in various fields of electromagnetic applications because of its low cost, low profile, easy fabrication and due to its conformability. In this project an attempt has been made to design, analyze and compare the results of microstrip patch antenna for the WLAN applications.
           
    Title : RFID BASED VOTING MACHINE USING IRIS SCANNER
    Guide Name : Prof. Priyanka Malgi (M.E.EXTC)
    Group Sarvesh kadam
    Members : Sahil kendre
    Sufiyan Noorani
    Piyush Mishra
    Abstract : ABSTRACT   This RFID based voting system is way of authenticating voters and allowing only authorized voters to vote.Every voter will go through 2-Step security verification before casting it’s vote. Making the system more secure.
         
    Title : Designing a ventilator using Arduino
    Guide Name : Prof. Maheshwari Marne (M.E.EXTC)
    Group Nishant Palav
    Members : Pratik Singh
    Rupesh Thakur
    Sanjeev Tiwari
    Abstract : ABSTRACT   Human lungs use lungs for respiration. They use push mechanism in each breath. Inhalation and exhalation process takes place.The ventilator here we design is to help people during Covid situation. It is very cheap and affordable. When people suffer from lungs or breathing problem this can be used for emergency situation Here we’ll used Motor Mechanism to push the Air Bag. So, Here entire system will be Monitored by Microcontroller.
         
    Title : Alumni Database Management System
    Guide Name : Prof. Aditya Desai
    Group Mishra Rupeshkumar Lakhan (64)
    Members : Ansari Rumaisa (01)
    Dubey Ankit (04)
    Mishra Ankit (26)
    Abstract : ABSTRACT   This project is aimed at developing a web application for the Alumni, Current student and faculty members of the Department of the College. The system is a web application that can be accessed throughout the organization with proper login provided. This system can be used as a web application for the college to manage the student information with regard to placement. Student’s logging should be able to upload their information such as mark- sheet, resume etc. The key feature of this project is that it is a onetime registration. Our project provides the facility of maintaining the details of the students. Administrator logging-in may also search any information put up by the students. This will also help in fast access procedures in placement related activities.
         
    Title : Indian Stock market prediction using RNN & LSTM
    Guide Name : Prof. Sweta Padman (M.Tech EXTC)
    Group Members : Harsh Dubey Nageshwar Dubey Shivam Jha Saurabh Tiwari
    Abstract : ABSTRACT   Prediction of the Stock Market is a challenging task in predicting the stock prices in the future. Due to the fluctuating nature of the stock, the stock market is too difficult to predict. Stock prices are constantly changing every day. Estimating of the stock market has a high demand for stock customers. Applying all extracted rules at any time is a major challenge to estimate the future stock price with high accuracy. The latest prediction techniques adopted for the stock market such as Artificial Neural Network, Neuro-Fuzzy System, Time Series Linear Models (TSLM), Recurrent Neural Network (RNN) and their advantages and disadvantages are studied and analyzed in this framework work. This paper is about to discuss different techniques related to the prediction of the stock market.
       
    Title : IOT based Smart Energy Meter
    Guide Name : Prof. Umesh Bhadade(Ph.D)
    Group Members : Shreya Patil(34) Adesh Sharma(39) Pratiksha Singh(44) Alok Yadav(57)
    Abstract : ABSTRACT   Electricity is one of the fundamental necessities of human beings, which is commonly used for domestic, industrial and agricultural purposes. Power theft is the biggest problem in recent days, which causes lot of loss to electricity boards. In countries like India, these situations are more often. If we can prevent these thefts, we can save lot of power. Also, we can see a person standing in front of our house from electricity board, whose duty is to read the energy meter and handover the bills to the owner of that house every month. This is nothing but meter reading. According to that reading, we have to pay the bills. The main drawback of this system is that person has to go area by area and he has to read the meter of every house and handover the bills. Many times errors like extra bill amount or notification from electric board even though the bills are paid are common errors. The consumer cannot track the energy consumption of all appliances separately.   To overcome these drawbacks, we have come up with an idea of smart
      energy meter, which will eliminate the third party between the consumer and service provider, even the errors will be overcome. Smart Energy Meter is an electric device having energy meter chip for measuring the   electric     energy     consumed    and    a    wireless     protocol    for    data communication.   This paper presents a IOT based Smart Energy Meter with Software Monitoring which calculate the energy consumption of individual application and communicate with the central database. The energy   consumption of appliances is displayed on the consumer’s mobile using central database so consumer can monitor meter readings regularly. The feedback from the user helps in identifying the usages between authorized   and unauthorized users, which helps in controlling the power theft.
    Title : Multifunctional Robotic Car
    Guide Name : Prof. Shruti Patil
    Group Members : Rahul Singh Ritvik Shetty Sarthak Singh Vaibhav Patil
    Abstract : ABSTRACT   Line Following is one of the most important aspects of robotics.The Robot uses several sensors to identify the line thus assisting the robot to stay on track.The system computes colour ,motion and shape cues combining them into a probabilistic manner to accurately achieve object detection and recognition taking some inspiration from vision science.
    Title                     : Sophisticated Charging Station App for EV’s
    Guide Name        : Prof. Sonali Padalkar (M.E.EXTC)
    Group Members : Akanksha More Rajkumar Dubey
    Sanju Mishra Sushant Gogar
    Abstract               : ABSTRACT   Sophisticated charging stations will play an important role in today’s life of reducing the carbon footprint and living an efficient and cleaner life. In today’s busy life it is a mess when our EV battery is low and when in a hurry it becomes too complicated to search for a vacant charging station. This project focuses on saving precious time of the user by showing them the required information of the charging station, whether it is vacant and suppose it is occupied in what time it will be available for the user so that they can plan their trip accordingly. Initially the intensity of the EV’s on road is low, but in the upcoming days it is been expected that it will rise exponentially which may rise to prolonged que outside the charging stations.`
    Title                     : IOT Based Paralyzed Healthcare Monitoring System
    Guide Name        : Prof. Hemangi Satam (M.E.EXTC)
    Group Members : Sweta Shah Hani Vaish Sangeeta Varun Aarti Yadav
    Abstract               : ABSTRACT   Our project aims to develop new innovation for the use of basic nursing care. In this project, we introduce a secure IOT Based paralyzed patient health care monitoring system. It helps us to take care of patient health care without a nurse. Our goal is to make a device that will be able to retrain a patient’s motion. Health Monitoring system using IOT describes the collection and interoperation of Patient data collected from the sensors through IOT Technology. The collected sensor data will support the doctor in the emergency situation for the betterment and improvement of Patient health. The hardware platform to implement the project consists of a sensor and Raspberry Pi equipped in a way to communicate with a doctor through the
    Internet and Smartphone. This proposed idea will help doctors to know   about the state of patient health from the sensors, as it gathers the medical information of the patient that includes the patient’s heart rate, blood pressure, and pulse rate. The data collected through the IOT will help the patient to recover easily and also enhanced medical care can be given to the patients at a low cost.
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