This document discusses a solution for improving natural disaster management and relief efforts, using floods as a pilot case. The solution aims to identify at-risk hotspots using past data and predictive analytics, provide early warnings, and enable effective relief infrastructure and coordination between agencies. Key aspects of the solution include setting up sensors and an M2M platform in flood-prone areas, integrating weather data and predictive algorithms to identify hotspots, notifying people using cell towers, coordinating relief through an integrated portal, and monitoring outcomes to improve future forecasting, warning, and disaster management. The goal is to accelerate warnings, reduce damage, enable timely evacuation and effective trauma care at a lower cost.