• Rashmi N Kuppast
• Shrunga G V
• Srujana V H
• B C Basavaraj Ganiga
• Himanshu Kumar

Natural disasters such as earthquakes, floods, hurricanes, and wildfires pose significant challenges to public safety, economic stability, and infrastructure worldwide. Despite advancements in monitoring and forecasting technologies, many existing systems remain inadequate in terms of early detection, prediction accuracy, and coordinated disaster response. This project proposes an advanced AI-powered disaster prediction and response system designed to bridge these gaps and enhance disaster management practices. By integrating machine learning (ML) and deep learning techniques, the system will analyse vast amounts of real-time data from various sources, including weather sensors, satellite imagery, seismic activity, river basin levels, and IoT-based sensors. This information is processed through predictive models to generate accurate forecasts, issue early warnings, and suggest optimal responses, ensuring that disaster-prone regions are better prepared for both anticipated and unforeseen events.

Victim analysis, Chatbot Assistance, Natural Disaster Prediction

"AI-Powered Victim Analysis and Chatbot Assistance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.j262-j264, March-2025, Available :http://www.jetir.org/papers/JETIR2503937.pdf

"AI-Powered Victim Analysis and Chatbot Assistance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppj262-j264, March-2025, Available at : http://www.jetir.org/papers/JETIR2503937.pdf