Sobhan Shreeraj Sa

Disasters such as cyclones, earthquakes, and floods can cause widespread devastation, disrupting lives and infrastructure. Traditional methods of assessing damage and coordinating relief efforts are often slow, resource-intensive, and prone to delays. Our AI-driven disaster response and recovery system aims to solve these critical issues by providing a rapid and accurate assessment of disaster impact using satellite imagery and machine learning techniques. This solution addresses the following key problems: Timely Assessment: Quickly evaluating the extent of damage to prioritize areas needing immediate attention. Resource Allocation: Efficiently distributing resources such as food, water, medical supplies, and personnel to the most affected areas. Decision Support: Providing real-time insights and actionable information to disaster response teams, enabling better decision-making. Continuous Monitoring: Offering ongoing surveillance of disaster-stricken regions to adapt to changing conditions and update response strategies accordingly. By automating the damage assessment process and providing real-time data, our solution enhances the efficiency and effectiveness of disaster response efforts, ultimately saving lives and accelerating recovery.