Integrating Cloud Computing and AI for Real-time Disaster Response and Climate Resilience Planning
Authors: Dr. Meera Choudhary, Dr. Raghav Deshmukh
Pages: 7-12
Abstract
The purpose of this study is to work on the intersection of cloud computing and AI technologies to improve the effectiveness of real-time disaster response and climate resilience enhancement. We propose a model that makes use of cloud resources for large scale data storage, AI for analyzing data and making decisions. This system outperforms existing models in disaster response efficiency and risk mitigation accuracy. With real-time data stream integration, proactive climate resilience planning becomes plausible. This research fosters adaptive intelligent disaster risk management systems to achieve sustainable development goals.
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