AI-Driven Fall Detection System

A comprehensive IoT + AI-based fall detection system using Raspberry Pi, ESP8266 sensors, and Micro:bit wearable device.

🏗️ System Architecture

The system consists of:

• ESP8266 Sensor Nodes: PIR motion sensor, Ultrasonic sensor, DHT22 (temperature/humidity)
• Micro:bit Wearable: Accelerometer-based fall detection with TinyML
• Raspberry Pi Backend: MQTT broker, FastAPI server, AI inference engine
• Database: MongoDB for data storage
• Frontend: React web dashboard and Flutter mobile app
• Alert System: Push notifications and email alerts

📁 Project Structure

AI-driven-fall-detection/
├── esp8266-sensors/
│   ├── pir_ultrasonic_dht22/
│   └── mqtt_client/
├── microbit-wearable/
│   └── fall_detection/
├── raspberry-pi-backend/
│   ├── api/
│   ├── mqtt_broker/
│   ├── ml_models/
│   └── database/
├── web-dashboard/
│   └── react-app/
├── mobile-app/
│   └── flutter-app/
├── docs/
│   ├── architecture.md
│   └── flowcharts.md
├── Installation.md
└── README.md

🚀 Quick Start

Prerequisites

• Raspberry Pi 4 (or compatible)
• ESP8266 development boards (NodeMCU or similar)
• Micro:bit v2
• Sensors: PIR, HC-SR04 Ultrasonic, DHT22
• Python 3.8+
• Node.js 16+
• Flutter SDK

Installation

1. Raspberry Pi Setup

   cd raspberry-pi-backend
   pip install -r requirements.txt

2. ESP8266 Setup

   • Install Arduino IDE
   • Install ESP8266 board support
   • Upload sensor node code

3. Micro:bit Setup

   • Use MakeCode or MicroPython
   • Flash wearable code

4. Web Dashboard

   cd web-dashboard/react-app
   npm install
   npm start

5. Mobile App

   cd mobile-app/flutter-app
   flutter pub get
   flutter run

🔧 Hardware Connections

See Installation.md for detailed pin mappings, connection diagrams, and complete setup instructions.

📊 Features

• Multi-sensor fall detection
• Real-time monitoring dashboard
• Mobile app notifications
• Email alerts
• Fall severity scoring
• Historical data analysis
• Room-level verification

📖 Documentation

• Complete Installation Guide - All setup instructions in one place
• System Architecture
• Flowcharts

🤝 Contributing

This is a production-ready system. Follow the code structure and add features as needed.

📝 License

MIT License