SIH26071

AI/ML-Based Integrated heavy rainfall Early Warning and Inundation Prediction System using Satellite, Radar, observational Weather and numerical weather prediction model data.

SoftwareDisaster Management

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Metadata & Specs

Organization

Ministry of Earth Sciences (MoES)

Department

India Meteorological Department

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Problem Description & Statement Details

AI/ML-Based Integrated heavy rainfall Early Warning and Inundation Prediction System using Satellite, Radar, observational Weather and numerical weather prediction model data.

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Ministry of Earth Sciences (MoES) · Software · Deadline 20 September 2026

AI/ML-Based Integrated heavy rainfall Early Warning and Inundation Prediction System using Satellite, Radar, observational Weather and numerical weather prediction model data.

Metadata & Specs

Quick Navigation

Problem Description & Statement Details

Similar Problem StatementsSame Theme or Organization

AI-Based early warning and landslide Risk Monitoring System in NER

Automated lntegration and lntelligent Harmonization of Multi-source Geospatial Data for urban Land Record Management.

Application of Geospatial Techniques for visualization and analysis to interpret Geo-Coded lmages to enhance watershed Development Outcomes.

Development of an AI-enabled Low Cost Real Time Mine Subsidence Monitoring, Prediction and Early Warning System for Underground Coal Mines in India

Dynamic Forecast of Expected Time of Arrival (ETA) for Coaching Trains

Automated High-Current Short-Circuit Test System for IEC 60898-1:2015 MCB Compliance.

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