AI FOR DISASTER RESPONSE

Project Algorithm :

NLP

Project Overview :

Natural disasters such as earthquakes, floods, wildfires, and hurricanes often cause catastrophic damage to life and infrastructure. Rapid and effective response is crucial to minimize casualties and ensure resource allocation. Traditional disaster management systems are often reactive, slow, and dependent on manual decision-making, which can delay rescue operations. This project proposes an AI-powered Disaster Response System that leverages machine learning, computer vision, natural language processing (NLP), and real-time data analytics to enhance disaster detection, prediction, and response. The system integrates multiple data sources, including satellite imagery, IoT sensors, social media feeds, and weather data, to predict disasters, assess damage. By automating early warnings, situational awareness, and resource allocation, the AI system aims to reduce human error, speed up rescue operations, and improve decision-making in emergency scenarios.

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