Downloads: 3 | Views: 69 | Weekly Hits: ⮙3 | Monthly Hits: ⮙3
Student Project | Computer Technology | India | Volume 14 Issue 4, April 2025 | Popularity: 4.9 / 10
Machine Learning-Driven Flood Forecasting and Alert System for Improved Disaster Preparedness and Response
Muhammed Haja, Prof Jogimol Joseph
Abstract: The Natural Disaster Prediction System is a software platform designed to forecast and provide early warnings for event like floods. It utilizes machine learning to analyse weather data, and seismic activity, enabling accurate risk assessment. Alerts are delivered via mobile, email, and to ensure timely response. The system aims to improve disaster preparedness, reduce damage, and support efficient emergency management and resource allocation.
Keywords: Natural disasters, machine learning, disaster prediction, real-time monitoring, early flood warning system
Edition: Volume 14 Issue 4, April 2025
Pages: 1479 - 1483
DOI: https://www.doi.org/10.21275/SR25417213030
Please Disable the Pop-Up Blocker of Web Browser
Verification Code will appear in 2 Seconds ... Wait