About the Project
The Disaster Prediction and Alert System collects real-time weather, environmental, and sensor data. Machine Learning models analyze the data to predict disasters such as floods, cyclones, landslides, earthquakes, and wildfires. The system sends instant alerts, displays safe evacuation routes, nearby shelters, and emergency contact information.
Mission
Save lives by turning environmental data into actionable early warnings.
Vision
A world where no community is caught unprepared when disaster strikes.
Objectives
Predict, alert, guide, and coordinate response with sub-minute latency.
Technology Stack
Frontend: React 19 + TanStack Start, Tailwind CSS v4, Framer-style motion
Backend: Serverless server functions (equivalent to Flask APIs)
Database: Cloud Postgres with row-level security
ML: Ensemble scoring for flood, cyclone, wildfire, landslide & earthquake risk
Auth: Managed email + Google OAuth
APIs: Live weather feed (mocked), map & routing integration hooks