Cloudburst Prediction System

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Raghavendra TS; Sunkesula Munnera Begum; Gowtham Reddy P; Varun Sannidhi; Niveda  Sudeep

Cloudburst Prediction System

Authors: Raghavendra TS, Sunkesula Munnera Begum, Gowtham Reddy P, Varun Sannidhi, Niveda Sudeep

Unique Paper ID: 179228
Volume: 11
Issue: 12
PageNo: 6612-6616

Keywords: Cloudburst Early Warning System Machine Learning Real-time Weather Data Disaster Risk Reduction Flood Alerts

Abstract:
Cloudbursts are sudden and intense downpours of rain that often strike without warning, causing flash floods, landslides, and significant damage—particularly in mountainous or densely populated areas. Predicting these events accurately and in time is essential to minimize their impact and save lives. This project introduces a Cloudburst Prediction System designed to monitor and analyze real-time weather data, satellite images, and key atmospheric indicators like pressure, humidity, temperature, and wind speed. By applying advanced machine learning techniques, the system can detect patterns and provide early warnings of potential cloudburst events. It also features an intuitive interface that delivers timely alerts and visual insights to support quick decision-making for both authorities and the public. With this system, we aim to strengthen disaster preparedness and reduce the risks associated with sudden extreme weather events.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 6612-6616

Cloudburst Prediction System

Available:https://ijirt.org/article?manuscript=179228

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