Rescue Connect: AI-Powered Disaster Relief System

An effective reaction in the case of disaster based on the rapid popularity of warnings, voluntary coordination, effective resource management and real -time communication. This article presents Rescue Connect, a Python -based disaster management system integrated chatbot's answers provided by AI, visualized resources and alerting processing. The system supports citizens' interaction through common questions and security advice, visualization of volunteer status and resources and simulating new emergency warnings. By taking advantage of local logic and external API, the system provides a hybrid intelligent assistant to improve the preparation for the disaster and the reaction's coordination.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-21
DOI
https://doi.org/10.22214/ijraset.2025.68472
Citations
2
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
2.97
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article

Rescue Connect: AI-Powered Disaster Relief System

Manda Rushitha
2 citations
International Journal for Research in Applied Science and Engineering Technology
IoT and Edge/Fog Computing
2.97
article

Rescue Connect: AI-Powered Disaster Relief System

Manda Rushitha
article en
2 citations

Abstract

An effective reaction in the case of disaster based on the rapid popularity of warnings, voluntary coordination, effective resource management and real -time communication. This article presents Rescue Connect, a Python -based disaster management system integrated chatbot's answers provided by AI, visualized resources and alerting processing. The system supports citizens' interaction through common questions and security advice, visualization of volunteer status and resources and simulating new emergency warnings. By taking advantage of local logic and external API, the system provides a hybrid intelligent assistant to improve the preparation for the disaster and the reaction's coordination.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 9%
IoT and Edge/Fog Computing
2.97
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