Overview:
The Flood Prediction & Early Warning System is an intelligent disaster management platform designed to predict potential flood events and issue timely alerts to authorities and citizens. It uses real-time weather data, river water level monitoring, satellite imagery, and historical flood records to forecast flooding risks. The system helps governments, emergency services, and communities prepare and respond effectively, minimizing damage and saving lives.

Key Features:

1. Real-Time Water Level Monitoring – Integrates with IoT-based sensors in rivers, dams, and drainage systems to measure water levels continuously.

2. Rainfall Data Integration – Uses meteorological department APIs for real-time precipitation data.

3. Flood Risk Prediction Model – AI/ML algorithms analyze weather patterns, water flow, and terrain to predict the likelihood of flooding.

4. Interactive Flood Risk Map – Displays high-risk areas on a color-coded map for easy visualization.

5. SMS & App-Based Alerts – Sends automatic warnings to residents in vulnerable areas.

6. Historical Data Analysis – Compares past flood data to improve prediction accuracy.

7. Evacuation Route Planner – Suggests safe routes during emergencies based on road and weather conditions.

8. Multi-Language Support – Ensures accessibility for diverse communities.

9. Disaster Response Coordination – Allows local authorities to share resources, rescue team locations, and status updates.

10. Offline Alert Support – Uses radio signals or sirens for areas without internet access.

Technology Stack:

• Backend: Node.js, PHP, or Java for real-time API integration and data handling

• Frontend: HTML, CSS, Bootstrap, JavaScript (Mapbox, Leaflet.js for mapping)

• Database: PostgreSQL or MongoDB for storing sensor data and flood history

• AI/ML Models: Python (TensorFlow, scikit-learn) for predictive analytics

• Data Sources: Meteorological APIs, IoT water sensors, satellite imagery (Google Earth Engine)

• Notification Services: Twilio API for SMS, Firebase Cloud Messaging for push alerts

Use Cases:

• Government Agencies: Quick decision-making and evacuation planning.

• Disaster Management Authorities: Efficient allocation of rescue teams and resources.

• Local Communities: Awareness and preparation for potential flooding.

• NGOs & Relief Organizations: Coordinated relief efforts during and after floods.