Disaster Detection Framework for Smart Cities: An AI YOLOv8 and IoT Approach

This paper proposes a disaster detection framework tailored for smart cities, focusing on fire and flood incidents. By integrating the YOLOv8 AI algorithm on a Raspberry Pi IoT device, the system ensures real-time detection and rapid alerting through IoT networks. The experimental setup validates the model’s ability to detect fire efficiently using simple devices, paving the way for scalable and cost-effective solutions for urban resilience and safety. The proposed approach aligns with smart city infrastructure and contributes to the growing field of AI-driven disaster response.