Utilizing AI and Machine Learning for Natural Disaster Management

Abstract

Natural disasters ranging from earthquakes to wildfires and floods pose serious threats to human life and infrastructure worldwide. As the frequency and severity of such events increase, new innovative solutions are necessary to ensure disaster preparedness, response, and recovery efforts and powerful prevention tools. This abstract provides an overview of the importance of machine learning in the management of natural disasters using machine learning. It also facilitates quick analysis of critical factors such as weather, soil type, demographics, and infrastructure vulnerabilities, contributing to more effective decision-making for disaster management and recovery efforts. This explores applications of machine learning in disaster scenarios, highlighting its versatility and potential impact. Machine learning can be used for image analysis and remote sensing of wildfire detection, flood forecasting, and damage assessment after earthquakes. Hence, ultimately saving lives and reducing the social and economic impact of these disasters.

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