🌊 Coastal Threat Detection System : CodeYatra

A comprehensive AI-powered coastal monitoring and threat detection system that combines satellite imagery analysis, real-time weather monitoring, and flood risk assessment to protect coastal communities.

🚀 Features

🔍 Area of Interest (AOI) Monitoring

• Interactive map drawing for monitoring areas
• AI-powered satellite imagery change detection
• Real-time alerts for coastal changes
• Historical tracking and analysis

🌤️ Live Weather & Storm Monitoring

• Real-time weather data from OpenWeatherMap
• Professional wind visualization with barbs
• Storm tracking and path prediction
• Multiple weather layer overlays

💧 Flood Detection & Risk Assessment

• GPS-based flood risk analysis
• Google Earth Engine integration
• Automated 3-hour monitoring
• Email alerts for high-risk areas

🤖 Overall Detection System (Clay v1.5 Integration)

• Advanced AI-powered coastal monitoring using Clay v1.5 foundation model
• Real-time satellite data processing with Google Earth Engine
• Multi-locations analysis (Mumbai, Kerala, Chennai, Punjab, Bihar, Uttarakhand)
• 768-dimensional embeddings for accurate threat detection
• Progressive scaling (10m-1000m resolution) for comprehensive coverage
• Production-ready API with robust error handling

🏗️ System Architecture

Backend (FastAPI + Python)

• FastAPI for high-performance API
• MongoDB for data storage
• Celery for background tasks
• Google Earth Engine integration
• Clay v1.5 foundation model for AI analysis
• Redis for task queuing

Frontend (React + TypeScript)

• React 18 with modern hooks
• TypeScript for type safety
• Leaflet for interactive mapping
• Tailwind CSS for styling
• Real-time data updates

📸 System Screenshots

Flood Alert Email

Flood Prediction

HeatMap

Cyclone map

Before Analysis - Coastal Area

Coastal area before change detection analysis

After Analysis - Detected Changes

Coastal area after change detection with highlighted modifications

🔮 Future Implementations

• Custom DL pipeline for anomaly and algal blooms detection
• Enhanced Clay v1.5 model fine-tuning for coastal-specific features
• Multi-temporal analysis for long-term coastal change trends
• Advanced early warning system with predictive modeling
• Current custom pipeline for Shoreline detection and monitoring which can be viewed at ./Models/fetch_noaa_data.py and test_flood_detection
• Data API From https://www.noaa.gov/ocean-coasts

🚀 Quick Start

Prerequisites

• Python 3.8+, Node.js 16+, MongoDB, Redis
• Google Earth Engine account
• OpenWeatherMap API key

Backend Setup

cd backend
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python main.py

Frontend Setup

cd frontend
npm install
echo "VITE_OPENWEATHER_API_KEY=your_api_key" > .env
npm run dev

🔧 Configuration

Required API Keys

• OpenWeatherMap: Weather data and maps
• SendGrid: Email notifications
• Google Earth Engine: Satellite imagery and Clay v1.5 model access
• MongoDB: Database connection

📊 API Endpoints

• Authentication: /auth/register, /auth/login
• AOI Management: /aois/ (CRUD operations)
• Shoreline Analysis: /shoreline/analyze
• Flood Detection: /flood/detect
• Overall Detection: /monitor/robust (Clay v1.5 AI analysis)

🎯 Use Cases

• Government: Coastal management and disaster preparedness
• Research: Climate studies and environmental monitoring
• Private Sector: Risk assessment and planning

🔒 Security Features

• JWT authentication with bcrypt hashing
• API rate limiting and input validation
• CORS protection and secure endpoints

🚧 Development Status

• ✅ Core AOI monitoring system
• ✅ Weather integration and mapping
• ✅ Flood detection and alerts
• ✅ Overall Detection with Clay v1.5 AI model
• ✅ Google Earth Engine real-time integration
• 🚧 Advanced AI model training
• 📋 Production deployment

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make changes and add tests
4. Submit a pull request

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Built with ❤️ for coastal communities worldwide

Protecting our coasts, one pixel at a time 🌊🛡️