The need for more efficient disaster management systems has been highlighted by the rising frequency and intensity of natural catastrophes, which are caused by human activities, swift urbanisation, and drastic climate changes. The Disaster Management Act, 2005 (India) defines disaster management as an ongoing cycle that includes preparedness, response, recovery, and mitigation. In disaster management cycle, the accurate information, prompt decision-making, and coordinated action are necessary. At every stage of this cycle, recent developments in Artificial Intelligence (AI) in Geosciences have emerged as transformational tools. AI improves damage assessment, expedites emergency response, and strengthens early warning systems by utilising methods including machine learning, deep learning, geospatial analysis, and natural language processing. In order to forecast disasters, identify high-risk areas, and produce early notifications that facilitate quicker evacuation and preparedness, AI systems evaluate huge amounts of sensor and satellite data. AI-powered drones, image recognition softwares, and real-time analytics help rescue workers to find survivors and evaluate damage of infrastructure more effectively during disasters. While India has been rapidly using AI technology for flood forecasting and cyclone management, international examples, such as Japan's AI based early warning systems, show notable reductions in response times. All things considered, artificial intelligence (AI) is turning out to be a revolutionary technology that improves the efficiency, accuracy, and robustness of contemporary disaster risk management (DRM). Examples from around the world, like Japan's AI-based early warning systems, show notable reductions in response times, while India is increasingly utilising AI technologies for cyclone management, and flood forecasting. Japanese authorities are able to reduce traditional emergency response and evacuation planning times by as much as fifty percent. All things considered, artificial intelligence (AI) is turning out to be a revolutionary technology that improves the efficiency, accuracy, and resilience of contemporary disaster risk management (DRM).
Vigneshwar Mekha (Thu,) studied this question.