Utilizing AI and Machine Learning for Natural Disaster Management

Abstract

Natural disasters pose a substantial threat to human lives, property, and ecosystems, necessitating more effective prediction and response mechanisms. This chapter explores the utilization of artificial intelligence (AI) and machine learning (ML) techniques to improve the accuracy and timeliness of natural disaster prediction, offering innovative solutions to address the complex challenges associated with these catastrophic events. It discusses the limitations of traditional forecasting methods and emphasizes the potential of AI and ML in processing vast datasets, identifying patterns, and enhancing predictive models. In conclusion, this paper advocates for the integration of AI and ML into existing disaster management frameworks, offering the potential to transform prediction accuracy and response effectiveness. The innovative solutions discussed can help reduce the adverse impact of natural disasters on communities, economies, and ecosystems, ultimately fostering a safer and more resilient future.