ISSN2320-2882
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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

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 11, page no.b718-b724, November 2025, Available :https://ijcrt.org/papers/IJCRT2511217.pdf
APA — 7th edition
Shukla, S., Jaiswal, T., Pathak, S., parmar, S., & Prajapati, S. (2025). DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform. International Journal of Creative Research Thoughts, 13(11), b718-b724. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217
MLA — 9th edition
Shukla, Samarth, et al. "DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform." International Journal of Creative Research Thoughts, vol. 13, no. 11, 2025, pp. b718-b724, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217.
Chicago — 17th, bibliography
Shukla, Samarth, et al. "DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform." International Journal of Creative Research Thoughts 13, no. 11 (2025): b718-b724. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217.
Harvard — author–date
Shukla, S. et al. (2025) 'DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform', International Journal of Creative Research Thoughts, 13(11), pp. b718-b724. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217
IEEE — numbered reference
S. Shukla, T. Jaiswal, S. Pathak, S. parmar and S. Prajapati, "DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform," IJCRT, vol. 13, no. 11, pp. b718-b724, Nov. 2025.
Vancouver — biomedical
Shukla S, Jaiswal T, Pathak S, parmar S, Prajapati S. DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform. IJCRT. 2025 Nov;13(11):b718-b724.
AMA — 11th edition
Shukla S, Jaiswal T, Pathak S, parmar S, Prajapati S. DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform. IJCRT. 2025;13(11):b718-b724. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2511217, author = {Samarth Shukla and Tushar Jaiswal and Satvik Pathak and Sneha parmar and Shivam Prajapati}, title = {DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {11}, pages = {b718-b724}, year = {2025}, month = {November}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217} }
RIS — EndNote, RefWorks
TY - JOUR AU - Shukla, Samarth AU - Jaiswal, Tushar AU - Pathak, Satvik AU - parmar, Sneha AU - Prajapati, Shivam TI - DisasterX(AI): An On-Device, Adaptive Disaster Response & Resource Allocation Platform T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 11 PY - 2025 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511217 SP - b718-b724 ER -

Issue

Volume 13 Issue 11, November-2025
Pages : b718-b724

Article Information

Pages
b718-b724
Published
November 2025
Registration ID
IJCRT_296253
Published Paper ID
IJCRT2511217
Research Area
Science and Technology
Author Type
Indian Author
Location
INDORE, Madhya Pradesh, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
244

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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