International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Smart Response: Leveraging AI Analytics for Enhanced Disaster Resilience

Author(s) Shashank Reddy Beeravelly
Country United States
Abstract The emergence of artificial intelligence and cloud computing has transformed modern disaster response
capabilities, particularly by developing sophisticated real-time analytics systems for natural disaster
management. This article examines the integration of AI-powered analytics platforms that synthesize data
from multiple sources, including satellite imagery, meteorological stations, and social media streams, to
enable rapid response during crises. This article demonstrates that cloud-based real-time analytics
substantially enhance early warning systems and optimize resource allocation during disaster events while
significantly improving response times compared to traditional methods. However, these technological
advances raise important ethical considerations regarding data privacy and equity in access to digital
resources. The findings suggest that AI-driven disaster response systems offer unprecedented capabilities
in protecting communities. However, their implementation must be guided by robust frameworks that
ensure equitable access and maintain privacy standards while maximizing public safety benefits.
Keywords Real-time Analytics, Disaster Response Management, Artificial Intelligence, Community Resilience, Cloud Computing Infrastructure.
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-01
Cite This Smart Response: Leveraging AI Analytics for Enhanced Disaster Resilience - Shashank Reddy Beeravelly - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32137
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32137
Short DOI https://doi.org/g8tgqh
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