AI-based Disaster Preparedness and Mitigation Plan

– Disasters such as floods, earthquakes, and cyclones pose significant threats to human life, infrastructure, and the environment. Timely preparedness and effective mitigation strategies are essential to minimize their impact. This study proposes an AI-based disaster preparedness and mitigation plan system that leverages advanced machine learning and data analytics techniques to predict, monitor, and respond to potential disasters. The system integrates real-time data from multiple sources such as satellite imagery, weather forecasts, and IoT sensors to enhance situational awareness. By utilizing predictive models and intelligent algorithms, the system identifies risk-prone areas, supports early warning mechanisms, and assists authorities in resource allocation and decision-making. Techniques such as data preprocessing, pattern recognition, and model optimization are applied to improve accuracy and reliability. Evaluation metrics including prediction accuracy, response time, and risk assessment efficiency are used to measure system performance. The results highlight the effectiveness of AI in improving disaster resilience, reducing losses, and enabling scalable and proactive disaster management solutions.