Disaster Management and Earthquake Prediction System Using Machine Learning

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Published: 2026-03-06
DOI: https://doi.org/10.15662/IJRPETM.2026.0902002
Keywords:
Disaster Management, Earthquake Prediction, Machine Learning, Seismic Data, Artificial Neural Networks, Predictive Analytics, Early Warning System, Cloud Computing

Main Article Content

Kavvampelli Nagamani, Kavali Laxmikala, Kalyanam Sreeram, Kampally Eshwar
UG Student, Department of Computer Science and Engineering, Holy Mary Institute of Technology & Science, Telangana, India
A.Jitendra
Associate Professor, Department of Computer Science and Engineering, Holy Mary Institute of Technology & Science, Telangana, India
Dr.Prasad Dharnasi
Professor, Department of Computer Science and Engineering, Holy Mary Institute of Technology & Science, Telangana, India

Abstract

Natural disasters such as earthquakes cause severe damage to life and property. Early prediction and proper disaster management strategies are essential to reduce risks and improve emergency response. This project, “Disaster Management and Earthquake Prediction System using Machine Learning,” aims to develop an intelligent system that can analyze seismic data and predict possible earthquake occurrences using advanced machine learning techniques. The system uses historical earthquake datasets including magnitude, depth, location, and seismic wave patterns to train predictive models such as Logistic Regression, Random Forest, and Artificial Neural Networks (ANN). By analyzing these parameters, the system estimates the probability and intensity of future earthquakes. The proposed solution helps disaster management authorities take preventive measures, issue early warnings, and improve emergency preparedness. The integration of cloud computing ensures scalable data processing and real-time monitoring.

Article Details

Issue

Vol. 9 No. 2 (2026): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Disaster Management and Earthquake Prediction System Using Machine Learning. (2026). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 9(2), 495-499. https://doi.org/10.15662/IJRPETM.2026.0902002

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