Machine Learning-Driven Flood Forecasting and Alert System for Improved Disaster Preparedness and Response

Muhammed Haja, Prof Jogimol Joseph

Abstract: The Natural Disaster Prediction System is a software platform designed to forecast and provide early warnings for event like floods. It utilizes machine learning to analyse weather data, and seismic activity, enabling accurate risk assessment. Alerts are delivered via mobile, email, and to ensure timely response. The system aims to improve disaster preparedness, reduce damage, and support efficient emergency management and resource allocation.

Keywords: Natural disasters, machine learning, disaster prediction, real-time monitoring, early flood warning system