SIH26070

To develop an Artificial Intelligence (AI) / Machine Learning (ML) based system for identification, classification, and prediction of different tropical cyclone patterns using multi-source satellite 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

To develop an Artificial Intelligence (AI) / Machine Learning (ML) based system for identification, classification, and prediction of different tropical cyclone patterns using multi-source satellite data.

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Ministry of Earth Sciences (MoES)30 September 2026

Ministry of Earth Sciences (MoES) · Software · Deadline 30 September 2026

To develop an Artificial Intelligence (AI) / Machine Learning (ML) based system for identification, classification, and prediction of different tropical cyclone patterns using multi-source satellite 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

AI-Powered Automated Underwater Marine Debris and Anomaly Detection System using Side-Scan Sonar Imagery

OceanEmbed - Satellite Embedding-Based Deep Learning Framework for Reconstruction of Subsurface Ocean Temperature from Surface Satellite Observations.

Develop a web-based interactive 3D visualization platform that integrates numerical ocean model outputs and in-situ observations.

WeatherGPT: Conversational AI for Weather Forecasting, Alerts, and Climate Information

National Weather Big Data Analytics Platform

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