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@article{180579,
        author = {Navneet Kaur and Muskan Shukla and Priyanshu Patil and Jigyasa Hanote},
        title = {NextGen Relief: A Technology-Driven Approach to Disaster Response},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2105-2107},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180579},
        abstract = {Disasters, whether natural or man-made, 
require swift, coordinated action between victims, 
rescue agencies, and administrative authorities. 
However, communication bottlenecks, lack of real-time 
information, and inefficient resource allocation often 
hamper response efforts. This research presents Quick 
Relief, 
a 
management 
comprehensive 
platform 
web-based 
designed 
to 
disaster 
bridge 
communication gaps, enable faster decision-making, 
and optimize the deployment of resources during 
emergencies. Built using the MERN stack (MongoDB, 
Express.js, React.js, Node.js), the system incorporates 
features like real-time alerts, resource tracking, role
based dashboards, and interactive map visualizations. 
This 
paper details the system architecture, 
implementation, testing outcomes, and future potential 
enhancements, including AI-powered predictive 
modeling 
and blockchain-based relief fund 
management.},
        keywords = {Resource allocation, MERN stack, Web based platform, Role-based dashboards, Real-time  alerts},
        month = {June},
        }