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Published Paper Details:
Paper Title
DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform
Authors
Samarth Shukla, Tushar Jaiswal, Satvik Pathak, Sneha parmar, Shivam Prajapati
Keywords
disaster response, edge AI, offline operation, YOLO, resource allocation, geospatial optimization, on- device inference, adaptive planning
Abstract
Disaster management systems often face
challenges such as disrupted communication, inefficient
resource distribution, and delayed situational awareness. To
address these issues, this paper presents DisasterXAI, an AI-
powered, adaptive disaster response and resource management
platform designed for real-time operation even in limited
connectivity conditions. The system integrates edge-based
computer vision, predictive analytics, geospatial optimization,
and offline-first communication to assist emergency responders
and communities during natural and human-made disasters. By
leveraging AI models for object detection, demand forecasting,
and intelligent allocation, DisasterXAI ensures timely, data-
driven, and resource-efficient response planning
IJCRT's Publication Details
Unique Identification Number - IJCRT2511217
Paper ID - 296253
Page Number(s) - b718-b724
Pubished in - Volume 13 | Issue 11 | November 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Samarth Shukla, Tushar Jaiswal, Satvik Pathak, Sneha parmar, Shivam Prajapati, "DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 11, pp.b718-b724, November 2025, Available at :http://www.ijcrt.org/papers/IJCRT2511217.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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