TRIDENT - Integrated Disaster Response & Rescue Ecosystem

This is an integrated disaster rescue ecosystem that enables real-time situational awareness, predictive risk analysis, and priority classification. It combines a multi-sensor wearable (ESP32, MAX30102, GSR, MPU6050, NEO-6M GPS, buzzer) and an underwater ROV (Arduino Uno, 4x thrusters, LiPo) with an AI-powered Flask central orchestrator.

🎥 Demonstration

Watch the multi-functional health & safety wearable in action:

(Note: Video playback might require viewing on standard GitHub web. A direct download or raw viewing might be necessary depending on your device.)

🏗️ System Architecture

TRIDENT operates across three integrated layers:

📱 Smart Wearable (Edge Layer)

• ESP32-based embedded firmware with multi-sensor integration
• Real-time vital signs, motion, and GPS monitoring
• Edge-based emergency detection and alert generation

🖥️ Central Command Dashboard (Decision Layer)

• Web-based emergency response coordination interface
• AI-powered priority classification and resource allocation
• Real-time visualization of incidents and response teams

Live Telemetry Data Feed:

🚁 Autonomous ROV (Action Layer)

• Remote-controlled deployment system for emergency scenarios
• Sensor integration for environmental assessment
• Automated navigation to high-priority locations

🛠️ Hardware Engineering & Design

Wearable Component

The wearable hardware was designed meticulously integrating multiple bio-sensors and embedded modules.

CAD Flythrough:

Autonomous ROV

The underwater ROV undergoes rigorous fluid dynamics analysis to ensure stability under water currents.

ROV Field Deployment:

🚀 Quick Start

Prerequisites

• Python 3.7+
• Node.js 14+ (for frontend development)
• PlatformIO (for firmware development)
• Qt6 (for ROV control station)

Installation

1. Clone the repository

   git clone <repository-url>
   cd trident

2. Install Python dependencies

   pip install -r requirements.txt

3. Set up configuration

   cp config/development.env.example config/development.env
   # Edit config/development.env with your settings

4. Initialize database

   python scripts/development/database_reset.py

5. Start the backend server

   python src/backend/main.py

6. Access the dashboard

   • Open browser to http://localhost:5000
   • Navigate to /admin for dashboard access

📁 Project Structure

trident/
├── src/                     # Source code
│   ├── firmware/           # ESP32 embedded firmware
│   ├── backend/            # Flask API server
│   ├── ml/                 # Machine learning models
│   ├── rov/                # ROV control system
│   └── frontend/           # Web interface
├── data/                   # Data files and models
├── docs/                   # Documentation
├── scripts/                # Utility scripts
├── assets/                 # Static resources (Images, Videos, CADs)
└── config/                 # Configuration files

🔧 Development Setup

Backend Development

# Start development server
python src/backend/main.py

# Run tests
python -m pytest src/backend/tests/

# Database operations
python scripts/development/database_reset.py
python scripts/development/add_sample_data.py

Firmware Development

# Flash ESP32
cd src/firmware
pio run --target upload

# Monitor serial output
pio device monitor

Frontend Development

# Serve static files (development)
python -m http.server 8080 --directory src/frontend/static

ROV Control

# Launch ROV control station
python src/rov/communication/serial_interface.py

🧠 Machine Learning Components

Weather Prediction

• LSTM-based temperature forecasting
• Historical weather data analysis
• Real-time prediction API

Risk Analysis

• Graph-based risk propagation modeling
• Flood network analysis
• Storm path prediction
• Geospatial risk zone mapping

📊 Key Features

Emergency Detection

• Fall Detection: MPU6050 accelerometer analysis
• Vital Signs Monitoring: MAX30102 heart rate and SpO2
• Stress Assessment: GSR sensor integration
• Location Tracking: GPS with geofencing

Priority Classification

• Automated severity scoring
• Multi-factor consideration (injuries, vulnerable populations)
• Resource availability optimization
• Real-time priority updates

Response Coordination

• Team assignment and notification
• Status tracking and updates
• Resource deployment optimization
• Analytics and reporting

🚀 Deployment

Development Environment

# Start all services
docker-compose up -d

Production Deployment

# Using scripts
./scripts/deployment/start_app.sh

# Manual deployment
gunicorn -w 4 -b 0.0.0.0:5000 src.backend.main:app

🧪 Testing

Backend Tests

# Run all tests
python -m pytest src/backend/tests/

# Specific test categories
python -m pytest src/backend/tests/test_api.py
python -m pytest src/backend/tests/test_priority_system.py

ROV Integration Tests

python src/rov/tests/test_rov_integration.py
python src/rov/tests/test_rov_deployment.py

📖 Documentation

• System Architecture
• Quick Start Guide
• API Documentation
• ROV Operations
• Deployment Guide
• User Manual

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

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

🆘 Emergency Contacts

• General Emergency: 100
• Fire Department: 101
• Medical Emergency: 108
• Disaster Management: 108

🧑‍🤝‍🧑 Meet the Team

🔮 Future Enhancements

• Mobile Applications: iOS and Android apps for field operations
• Advanced AI Integration: Deep learning for emergency prediction
• IoT Sensor Network: Expanded environmental monitoring
• Blockchain Integration: Secure emergency records
• Multi-language Support: Localization for global deployment

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⚠️ Important: This is an emergency response system. In case of real emergencies, always contact local emergency services directly using the numbers provided above.

🛡️ TRIDENT - Your Shield in Times of Crisis