An Analysis Platform for Disaster Forecasting and Response

Abstract

The Real-time Disaster Analysis And Prediction System (RDAPS) seeks to monitor and predict the occurrence of natural calamities such as earthquakes, fires, and floods in real-time. Alerts are sent to the user via SMS and push notifications to allow users to mitigate damage. Users can input personal information (name, phone number, and address) which is kept securely in a Supabase database. The system integrates with several disaster APIs (for example, USGS, NASA EONET) to gather data and display locations of disasters on a dynamic map. The Python-based system evaluates incoming data and notifies users about nearby emergencies. While the platform features a bar graph displaying disaster intensity levels, its main purpose is real-time alerts and emergency management.