ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
   Email: ijesatj@gmail.com,   

(Peer Reviewed, Referred & Indexed Journal)


    AI Powered Disaster Management System

    Dr. M. Swapna, K. Sathwika ,K. Sai. Srikari ,N. ManyaShree

    Author

    ID: 2763

    DOI: Https://doi.org/10.64771/ijesat.2026.v26.i4(1).2763

    Abstract :

    Disasters Happen A Lot. Floods, Cyclones, Earthquakes They Hit Fast. Houses, Roads, Schools Sometimes People Get Hurt. Scary Stuff. We Built An AI-based Disaster Management System. Each Disaster Has Its Own Model. For Floods We Use Random Forest, For Cyclones We Use ARIMA For Earthquakes We Use Neural Networks. For The Overall System, We Used Logistic Regression To Combine Everything And Figure Out Overall Risk. The System Sorts Areas Into Low, Medium, Or High Risk. If Risk Is High, It Can Send Alerts Through SMS, Email, Or Apps. Not Perfect, But Even Small Warnings Can Help People And Authorities Prepare.

    Published:

    20-4-1-2026

    Issue:

    Vol. 26 No. 4-1 (2026)


    Page Nos:

    635-640


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Dr. M. Swapna, K. Sathwika ,K. Sai. Srikari ,N. ManyaShree, AI Powered Disaster Management System , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(4-1), Page 635-640, ISSN No: 2250-3676.

    DOI: https://doi.org/10.64771/ijesat.2026.v26.i4(1).2763