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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41972
Volume:
9 |
3 |
Mar 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.
In the face of increasing natural and man-made disasters, timely and accurate information is crucial for effective response and life-saving efforts. Disaster response agencies frequently struggle to collect relevant, real-time data from diverse sources such as social media, news outlets, and other open platforms. This project aims to develop a comprehensive software solution where the platform enables users to quickly report emergencies like floods, fires, or earthquakes by selecting from predefined disaster categories. It also allows victims to specify critical needs—such as the number of people needing rescue, food, water, or medical supplies—directly through the platform. This information is instantly relayed to the nearest disaster response teams with precise location data and navigation to ensure that critical messages reach disaster response agencies in the shortest possible time. By using GPS technology, the platform provides disaster response teams with accurate routes, minimizing delays in reaching affected areas. The platform also addresses the limitations of traditional communication networks by offering offline functionality and low-bandwidth messaging, ensuring accessibility even in remote or infrastructure-damaged areas. Peer-to-peer networking and emergency broadcast features enable uninterrupted information flow, preventing communication blackouts during critical moments.The real-time nature of the system allows for quick decision-making, empowering agencies to save lives, reduce disaster impacts, and optimize resource allocation during crises. The software is designed for all types of disasters, providing a unified interface for both responders and affected individuals.
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Publication Date
3/13/2025
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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No funding information available for this research.
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