Disaster Impact and Human Resilience Predictor Using Real-Time Data Analytics

Abstract

The Disaster Impact & Human Resilience Predictor is a real-time analytics system designed to evaluate disaster severity and community resilience. It integrates live data from weather sensors, satellite imagery, social media, and historical records to predict impact zones, infrastructure risk, and required resources. Using machine learning models, the system generates a Human Resilience Score based on social, economic, and healthcare indicators, helping authorities understand how well communities can withstand and recover from disasters. The platform provides early warnings and actionable insights through dynamic dashboards, enabling governments and disaster management teams to make timely, data-driven decisions for effective preparedness and response.