🚗 Project-OnBoardX - IoT-Based Vehicle Monitoring System

📌 Overview

Endurance is a real-time IoT-based vehicle monitoring system that integrates ESP32, Raspberry Pi, Firebase, FastAPI, Flask, and Machine Learning to ensure vehicle safety and efficient monitoring.

🔥 Features

🚀 Real-Time Data Collection

• ESP32 + Gyro Sensor collects acceleration & velocity data.
• Data is stored in Firebase and processed using FastAPI.

📊 Data Processing & Visualization

• FastAPI generates graphs from raw sensor data (stored as bits).
• ML Model calculates average acceleration & velocity.
• React UI + Flask displays real-time location tracking (latitude & longitude).

🚨 Speed & Acceleration Alerts

• If high acceleration/velocity is detected, alerts are sent via EmailJS / Twilio.
• Helps prevent accidents by notifying drivers to slow down.

🆘 Accident Detection & Emergency Alerts

• Raspberry Pi + Pressure Sensor detects abnormal pressure.
• Emergency signal is sent via ESP32 WiFi.
• Nearby hospitals, people, ambulances, and fire stations receive alerts.

🖼️ System Architecture

📸 Implementation Screenshots

🔹 ESP32 + Gyro Sensor Data Logging

🔹 Real-Time Dashboard

🔹 Accident Detection System

🛠️ Tech Stack

Component	Technology
Backend	FastAPI, Flask, Firebase
Frontend	React.js, Tailwind CSS
IoT Devices	ESP32, Raspberry Pi, Gyro Sensor, Pressure Sensor
Alerts	Twilio, EmailJS
ML Model	Python, NumPy, SciPy

🔧 Setup & Installation

# Clone the repository
git clone https://github.com/bunnysunny24/Endurance.git
cd Endurance

# Install backend dependencies
pip install -r requirements.txt

# Install frontend dependencies
cd frontend
npm install

# Run FastAPI backend
uvicorn backend.main:app --reload

# Run React frontend
npm start

🚀 Future Enhancements

• AI-based predictive analytics for accident prevention.
• Improved emergency response system with geolocation tracking.
• Mobile App Integration for instant alerts.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.