AI-powered disaster prediction system for Libya using machine learning models to predict floods, storms, and other natural disasters
# Libya Disaster Prediction AI System
A production-grade AI-powered disaster prediction system for Libya, featuring hybrid ensemble learning, time-series intelligence, and real-time risk assessment.
## 🚀 Features
- **Hybrid Risk Engine**: Combines XGBoost ML, Isolation Forest anomaly detection, trend analysis, and geographic risk
- **Time-Series Intelligence**: Rolling averages, deltas, and spike detection for early warning
- **Probability Calibration**: Isotonic calibration for realistic confidence estimates
- **Confidence-Based Alerts**: HIGH_CONFIRMED vs HIGH_UNCERTAIN classification
- **Risk Stability Tracking**: Monitors risk trends (rising/falling/stable) across predictions
- **Early Warning Detection**: Pre-disaster pattern recognition
- **Real-Time Feedback Loop**: API for collecting real-world event verification
- **Geographic Awareness**: Coastal proximity and elevation-based risk factors
## 📊 Architecture
```
Data Layer
├── Weather API (air pressure, quality, risk scores)
├── Marine API (wave height, wind speed, sea level)
├── News API (article counts, keyword analysis)
└── Geolocation (lat, lon, elevation, distance to coast)
```
## 🌍 Data Sources
The system integrates data from multiple sources to provide comprehensive disaster risk assessment:
### 1. Copernicus Marine Service
- **Provider**: Copernicus Marine Environment Monitoring Service (CMEMS)
- **Data**: Sea level anomalies, wave height, wave period, wind speed, swell wave height
- **Coverage**: Mediterranean Sea, Libyan coastal waters
- **Access**: Requires API key from Copernicus Marine
- **Usage**: Marine conditions that contribute to flood and storm surge risks
### 2. Weather API
- **Provider**: OpenWeatherMap or similar weather service
- **Data**: Air pressure, air quality index, weather risk scores, temperature
- **Coverage**: Libyan cities (Tripoli, Benghazi, Derna, etc.)
- **Access**: Requires API key from weather service provider
- **Usage**: Atmospheric conditions that indicate s …