Flood Watch: A Multi-Agent System for Smarter Disaster Response

Timely and coordinated flood response is often hindered by fragmented data and delayed situational awareness. This paper presents a multi-agent system (MAS) that integrates geolocated social media posts and IoT sensor data to enable dynamic and high-confidence flood detection and alerting. Each agent is responsible for a specific function, including filtering noisy tweets, validating water level readings, and clustering incident reports. In a simulated urban flood scenario, the system significantly improved event coverage, reduced response time, and lowered false alarms by validating information across multiple sources. These results highlight the potential of intelligent agent collaboration to enhance real-time disaster monitoring and response.