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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP49371
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
As natural disasters become more frequent and in- tense, leveraging advanced technologies for disaster management and prediction is crucial. Natural disasters such as earthquakes and floods have a devastating impact on communities, necessi- tating efficient disaster management solutions. This framework presents an advanced disaster management platform that in- tegrates early warning systems, predictive models, and post- disaster rehabilitation strategies. Leveraging machine learning and geospatial data, the platform forecasts potential threats, issues timely alerts, and optimizes resource allocation in relief camps. Additionally, it facilitates seamless communication be- tween first responders and relief centers while supporting the rehabilitation of displaced individuals. By enhancing disaster preparedness and response, this platform aims to mitigate the impact of natural disasters and improve resilience in affected regions.
KEYWORDS
Publication Date
5/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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