Smart Disaster Response System using IoT and AI based Decision Making Algorithm

Abstract: Natural disasters such as floods, earthquakes, and wildfires are increasingly frequent and unpredictable, often resulting in massive loss of life and property. Traditional disaster response systems lack speed and adaptability. This paper proposes a smart disaster management system powered by Artificial Intelligence (AI) and Internet of Things (IoT) sensors. It focuses on how real-time environmental data collected from distributed sensors can be processed by AI algorithms to predict disasters, issue early warnings, and coordinate response operations. The system architecture includes a layered approach: IoT-based data collection, AI-based decision making, and real-time communication with emergency services. Applications in flood monitoring, wildfire alerts, and earthquake response are discussed. Challenges such as sensor reliability, data overload, and privacy are addressed. The paper also outlines future possibilities using edge AI and smart city integration. This research supports a shift toward more predictive, adaptive, and coordinated disaster managemen