Publication Date: 2023/05/11
Abstract: Disasters or hazards have the potential to cause catastrophic damage and significant socioeconomic loss. The year 2022 has been recorded as the eighth consecutive year with 10 or more billion-dollar weather or climate related disasters. As a result, an AI powered Disaster Management system is developed. It aims to strengthen disaster mitigation strategies using AI technology. It helps in detecting and preparing for the extreme weather and other hazards, and also to communicate to people and communities effectively about the necessary response. AI helps response teams to understand the hazards or accidents, monitor events in real time and anticipate specific pitfalls in the face of impending or on-going disasters. The disasters can either be predicted with the help of AI technology by training machine learning models or be detected from live news feeds. AI is used during different phases of disaster operation first, vaticination and protuberance; also, to help communicate what has passed; and in the monitoring and early discovery of implicit new pitfalls.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.7922907
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23APR2182.pdf
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