Real-Time Disaster Resource Mapping With SOS Coordination And Volunteer Integration
DOI:
https://doi.org/10.64751/4fbv9d19Abstract
Natural and human-induced disasters such as floods, earthquakes, fires, and industrial accidents have become increasingly frequent, posing significant challenges to emergency response, resource allocation, and public safety. Conventional disaster management systems primarily rely on manual communication, local authorities, and public announcements to disseminate emergency information. These approaches often suffer from delayed communication, limited accessibility, fragmented coordination, and the absence of a centralized information repository, particularly during large-scale emergencies. As a result, affected individuals frequently encounter difficulties in locating verified shelters, safe locations, and emergency resources, leading to panic, confusion, and delayed rescue operations. To address these challenges, this paper presents Disaster Resource Mapping with SOS (Save Our Souls) Coordination and Volunteer Integration, a centralized web-based platform designed to improve disaster preparedness and emergency response. The proposed system enables users to access verified safe locations with complete address and contact information while facilitating efficient coordination between administrators, volunteers, and affected communities. The administrator module manages user approvals, volunteer verification, and disaster resource information, whereas the user module allows registered users to maintain their profiles, send SOS alerts, and locate nearby safe places during emergencies. The platform is developed using React.js for the frontend, Django Representational State Transfer (REST) Framework for backend Application Programming Interface (API) development, and My Structured Query Language (MySQL) for secure data storage and management. The centralized architecture ensures reliable information dissemination, enhances resource accessibility, and supports effective volunteer coordination. Experimental implementation demonstrates that the proposed system significantly improves disaster information management, accelerates emergency response, and strengthens community resilience, thereby contributing to safer and more efficient disaster management practices.
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