Internship Projects

1. Smart Waste Management System

Brief Description of Proposal :

Our waste management system introduces a shift in the way we approach waste collection. At its core are smart waste bins equipped with advanced ultrasonic sensors. These sensors continuously monitor fill levels in real time. When a bin reaches a predetermined threshold of 90% to 100% capacity, it automatically triggers notifications to garbage collectors/dump yards via a GSM module.

A central monitoring station collects and analyzes data from all bins, providing valuable insights into waste generation patterns and bin utilization. This enables waste management authorities to proactively plan collection routes and schedules based on real-time data, optimizing resources and minimizing unnecessary trips. Our system also features a user-friendly mobile application that empowers waste management authorities with a comprehensive overview of bin statuses. They receive instant notifications of full bins, allowing them to dispatch collection teams promptly and efficiently.

Components Needed:

HC-SR04 Ultrasonic Sensor
ESP-32
9V Battery
Mini Solar Panels 6v-100 mah (70*70*03)
Jumper Wires
900A GSM Module

Team Members

➢ Deepak Kumar

➢ Vidhi

➢ Keshav Yadav

➢ Alok Ranjan Kumar

➢ Shubham Dev

➢ Karan Bhatia

2. Surveillance Vehicle based on ESP32 CAM module

Brief Description of Proposal :

Project Overview :

Our project aims to design and build a Surveillance Vehicle utilizing the ESP32-CAM module, a pan-tilt servo assembly, and an L298N Motor Driver. This vehicle will provide a multidirectional view and remote control capabilities through a custom web application, enhancing its surveillance functionality. The ESP32-CAM will serve as the central controller, capturing real-time video and controlling the pan-tilt assembly for a comprehensive field of view. The L298N Motor Driver will enable precise control of the vehicle's movement, ensuring effective manoeuvrability in various environments.

Objectives:

1. Design and integrate a remote-controlled surveillance system using the ESP32-CAM

and a pan-tilt servo assembly.

2. Implement motor control algorithms for precise vehicle movement.

3. Ensure robust communication between the web application and the surveillance

vehicle.

4. Incorporate multidirectional view mechanisms for enhanced monitoring.

5. Document the design process, challenges faced, and solutions developed.

Team Members

➢ Siddhartha Singh

➢ Dheeraj

➢ Vijay Kumar

➢ Jyoti

➢ Nishant Bhati

➢ Madhav Jha

➢ Shivam Kr. Pandey

➢ Harsh kr. Panchal

3. Drone for Air Pollution Monitoring and Control

Brief Description of Proposal :

The PUC Drone project aims to leverage advanced drone technology to measure and analyze air pollution, providing valuable data for environmental monitoring and regulatory compliance. The system integrates air quality sensors, including PM2.5, NO2, Ozone, and MQ-2 sensors, with a drone equipped with ESCs, BLDC motors, and an APM 2.8 flight controller for stability and navigation. The Arduino Uno processes sensor data, while the NodeMCU ensures real-time data

transmission to a ground station via Wi-Fi.

Using Mission Planner software, the ground station manages mission planning, real-time monitoring, and data analysis. The drone collects air quality data during flights, transmitting it to the ground station for visualization and analysis. This setup helps identify pollution hotspots and trends, supporting environmental monitoring efforts and regulatory compliance. The project's goal is to contribute to public health and environmental protection by providing a sophisticated tool for air pollution assessment and control.

Team Members

➢ MUSKAN

➢ MAYANK SHARMA

➢ DHIMANT TEWARI

➢ VANSHIKA MISHRA:

➢ RAVI KUMAR:

➢ GAURAV RAJ

➢ DIPTI SINGH

4. LPG DETECTION SYSTEM

Brief Description of Proposal :

Liquefied Petroleum Gas is used in most household applications for cooking and heating, though it is relatively safe, excessive leakage is always bound to cause great risk such as that of fire and health issues due to inhalation. The ”LPG Detection System” is an innovative IoT project designed to address these safety concerns by providing a robust solution for the early detection of LPG gas leaks in households and around gas cylinders. It is not only intended for the detection of LPG gas but will trigger such automatic preventive measures as shutting off regulators and turning on the exhaust fan, among others, to counteract any potential threats. It is a household safety approach which integrates advanced sensors, microcontrollers, buzzers and wireless communication technologies.

REQUIREMENTS

MICROCONTROLLER: ARDUINO OR ESP 8266
SENSORS: MQ-2 / MQ-5 / MQ-6 GAS SENSOR TO
DETECT PRESENCE OF LPG GAS
BREADBOARD AND JUMPER WIRES
LCD DISPLAY
ALARMING SYSTEM OR BUZZERS
LEDS

Team Members

➢ Sarthak Jayswal

➢ Siddharth Pushkar

➢ Divyanshu Kumar:

➢ Nimesh Hoon

➢ Ram Anurag

➢ Raj Saini

5. Smart Dust Collector

Brief Description of Proposal :

The project involves designing a smart duster prototype specifically for cleaning underneath buses to enhance efficiency and effectiveness using advanced technologies. It integrates automated sensing to detect debris, adjust cleaning intensity, and smart navigation for systematic coverage. Possible IoT connectivity allows real-time monitoring and control to reduce manual effort, improve cleanliness, and support urban sustainability. Components include sensors, a brush mechanism, GPS navigation, and IoT capabilities for remote management and operational insights, aiming to maintain a cleaner and safer road environment efficiently.

Components Needed:

Microcontroller
DC Motors: Wheels or Tracks, Duster Pads or Brushes, Motorized Arm.
IR Sensors or Ultrasonic Sensors, Bumper Sensors,
Power Supply: Rechargeable Battery Pack
Remote Control (optional), Bluetooth or WiFi Module

Team Members

➢ Sachin

➢ Kartavya Sharma

➢ Manan Narwal

➢ Deepali Verma

➢.Aditya

➢ Aryan Verma

➢ Diksha Gupta

6. AutoCart Smart Trolley System

Brief Description of Proposal :

AutoCart is a Smart Trolley System designed to enhance the shopping experience by reducing checkout wait times through instantaneous and decentralized billing. Objective: To streamline the checkout process by enabling real-time item scanning and direct payment at the trolley, eliminating the need for traditional checkout counters.

Key Features:

Real-time Item Scanning: Automatic detection and recording of items in the cart.
Instantaneous Billing: Real-time calculation of the total bill.
Decentralized Checkout: Complete purchases directly at the trolley.
Security Measures: Ensures all items are scanned and billed correctly.

Team Members

➢Tushar Thakryan

➢ Harshit Khandelwal

➢ Harshit Chhapliyal

➢ Shivam

➢ Aryan Malhotra

➢ Manas Garg

➢ Mohit Arora

7. Smart Irrigation System

Brief Description of Proposal :

What is Smart Irrigation System?

Our team is developing the "Smart Water Irrigation" system, which optimizes plant watering by measuring soil moisture and automating the irrigation process. The system uses a relay module to control the water pump and a servo motor to rotate the pipes for even water distribution. Operating autonomously, the system eliminates the need for manual intervention. By leveraging real-time data, it conserves water, reduces waste, and prevents both under-watering and over-watering. This promotes healthier plant growth.

This innovative solution is ideal for gardeners, farmers, and horticulturists, providing a sustainable and efficient way to manage irrigation.

Components required for making this project

Arduino Uno
VBEI
Soil moisture sensor
servo motor
DC mini water pump 6. Jumper wire
Single channel Relay
12V DC adaptor

Team Members

➢vaibhav Taneja

➢ Jwel Srivastava

➢ Shreyas Singh

➢ Vaibhav Shukla

➢ Shreya Jaisal

8. Line Follower Robot

Brief Description of Proposal :

Project Overview :

The Line Follower Robot Car is an autonomous robotic vehicle designed to follow a predefined path marked by a line on the floor. Utilizing sensors to detect the line and a microcontroller to process the data, the robot is capable of navigating a course without human intervention. This project encompasses various aspects of Electrical and Computer Engineering, including sensor integration, microcontroller programming, motor control, and algorithm development.

Objectives:

The primary objective of this project is to design, build, and implement a fully functional Line Follower Robot Car. The project aims to enhance my understanding and practical skills in robotics and automation, specifically focusing on:

Developing skills in sensor integration and data processing.
Gaining experience in microcontroller programming and interfacing.
Implementing control systems for motor drivers.
Optimizing algorithms for accurate line detection and path-following

Team Members

➢ Dhruv Moun

➢ Hritick Roy

➢ Anshul

9. Smart Helmet (SafeTechHalo)

Brief Description of Proposal :

Project Objectives :

HUD display + Eye Ball tracking
Ventilation by use of Non-Newtonian Fluids + providing extra rigidity
Use of Wind Energy to power onboard electronics
Navigation
Crash Detection
Modular Design

Components:

Holographic Projector: Vufine+ Wearable Display
Transparent OLED Screen: See-Through OLED Display from LG
Infrared Eye-Tracking Cameras: Pupil Labs Eye Tracking Module
Calibration Software: Custom Software Development
ESP32

Team Members

➢ MANAV KASHYAP

➢ DEEPENDU SHARMA

➢ NAMAN SINHA

➢ HARSHAL KUMAR

➢ SANSHRAY CHOUDHARY

➢ JAIDEEP

10. Saline Level Detector for Hospital Management

Brief Description of Proposal :

Project Overview :

A saline level detector for hospital management is a crucial device used to monitor and

manage saline solution levels in healthcare settings. Here's a detailed description of its

functionality and importance: Functionality: Monitoring Saline Levels: The detector

continuously monitors the levels of saline solutions in IV bags or containers. It can detect

both the quantity of saline remaining and the flow rate when connected to an IV infusion

system. Alerts and Notifications: The device provides real-time alerts when saline levels are

low or when the IV bag is about to run out. Notifications can be sent to nurses or healthcare

staff through alarms, display panels, or integrated hospital management systems.

Integration with Hospital Systems: Saline level detectors are often integrated with hospital

management software or electronic medical records (EMR) systems. This integration allows

for automatic recording of saline usage, simplifying inventory management and ensuring

timely restocking.

Team Members

➢ Arjun Lakhanpal

➢ Samarth Khanna

➢ Tanisha Bageshwari

11. MINE SAFETY : Monitoring and Controlling

Brief Description of Proposal :

Project Overview :

Developed a comprehensive mine safety system integrating three main nodes: safety helmet, fixed sentry tower, and exploration bot.
Implement MQTT communication protocol to establish seamless data transmission between each node and a centralized station (broker).
Enabled real-time monitoring and reporting of critical environmental parameters including temperature, humidity, and gas leak detection pathways.
Enhance safety protocols by utilizing data insights to preemptively address potential hazards and improve emergency response times in mining operations.

Hardware used :

Esp 32
Esp32 (cam)
Raspberry pi 5
Dht11(digital humidity and temperature sensor)
Mq2(gas sensor)
ADXL(accelerometer)
Buzzer
L298 (driver motor)

Team Members

➢ Lokesh Singh

➢ Naman Jain

➢ Aditya Sharma

➢ Yatharth Jain

➢ Aryan Tomar

➢ Saloni

➢ Diksha Gupta

➢ Rahul Kumar

➢ Sahil Gosain

12. Patient Health Monitoring System

Brief Description of Proposal :

Project Overview :

This project develops an IoT-based system to monitor ECG, temperature, and humidity, coupled with a smart alarm. Real-time data is transmitted wirelessly for remote monitoring. A mobile app and web interface (Ubidots) provide access to health data. Early detection of health anomalies, improved patient care, and data-driven medical insights are key benefits.

Hardware Components:

1) Architecture Used

Arduino-based medication alarm :Tracks medication schedule, provides timely reminders, improves adherence.

ESP32: Sensor hub, wireless data transmission (Wi-Fi/Bluetooth), Ubidots integration, real-time monitoring.

2) Peripheral Devices Used

RTC DS3231: Accurate timekeeping, battery backup, powers smart alarm for medication reminders.

LCD display: Displays date, time, and medication alarms. Uses I2C communication

3)Sensor Used

MLX90614: Contactless infrared thermometer, measures body temperature, provides real-time data for health monitoring.

DHT11: Measures temperature and humidity, assessing environmental conditions for patient health.

AD8232: ECG sensor, measures heart rate and ECG signals, monitors cardiovascular health.

MAX30100: Pulse oximeter and heart rate sensor, measures SpO2 and heart rate, monitors cardiovascular health.

Software Components:

Arduino IDE: Development, sensor data collection, processing, and transmission.

Ubidots : Cloud storage, visualization, analysis, alerts, and data export.

Team Members

➢ Harshit Masand

➢ Prateek Agrawal

➢ Sneha

➢ Anurag Mishra

➢ Aksh sani

13. Mental Health Management Using Iot and ML

Brief Description of Proposal :

Project Overview :

In This Project we will use heart rate tracking sensors to monitor heart rate and detect stress levels. These sensors will send the collected data to a cloud platform. Machine Learning algorithms will analyze this data to find patterns that might indicate mental health issues like anxiety, depression, or stress. When the system detects something unusual, it will send alerts to the user and their healthcare provider, if needed. The goal is to provide early warnings and helpful advice to improve mental health, making it easier for people to get the help they need when they need it. This project combines technology with mental health care to create a more effective and personalized support

system.

Team Members

➢ Amandeep Gautam

➢ Siddharth Mishra

➢ Aashish Kumar

Project Proposal for Summer Internship at AICTE IDEA Lab

1. Smart Waste Management System

Brief Description of Proposal :

Team Members

2. Surveillance Vehicle based on ESP32 CAM module

Brief Description of Proposal :

Team Members

3. Drone for Air Pollution Monitoring and Control

Brief Description of Proposal :

Team Members

4. LPG DETECTION SYSTEM

Brief Description of Proposal :

Team Members

5. Smart Dust Collector

Brief Description of Proposal :

Team Members

6. AutoCart Smart Trolley System

Brief Description of Proposal :

Team Members

7. Smart Irrigation System

Brief Description of Proposal :

Team Members

8. Line Follower Robot

Brief Description of Proposal :

Team Members

9. Smart Helmet (SafeTechHalo)

Brief Description of Proposal :

Team Members

10. Saline Level Detector for Hospital Management

Brief Description of Proposal :

Team Members

11. MINE SAFETY : Monitoring and Controlling

Brief Description of Proposal :

Team Members

12. Patient Health Monitoring System

Brief Description of Proposal :

Team Members

13. Mental Health Management Using Iot and ML

Brief Description of Proposal :

Team Members

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