Edge-Enabled Disaster Detection and Early Warning Alert System

Create an edge-based disaster monitoring system that processes environmental sensor data locally to detect floods, earthquakes, or fires. The project aims to generate real-time alerts with minimal latency, ensuring rapid emergency response even in areas with unstable internet connectivity.

Study edge computing applications in disaster management systems.

Research environmental sensors for seismic activity, smoke, water levels, and temperature.

Design a decentralized edge architecture for rural or disaster-prone regions.

Implement threshold-based and anomaly detection algorithms at the edge.

Configure real-time alert mechanisms using SMS or local siren systems.

Develop redundancy mechanisms for network failure scenarios.

Implement local storage for buffering data during connectivity outages.

Create a monitoring dashboard for disaster management authorities.

Optimize energy efficiency for remote edge nodes powered by solar systems.

Test the system under simulated emergency conditions.

Evaluate system reliability and response time improvements.

Document scalability and feasibility for smart city deployment.