SIH26070 · Ministry of Earth Sciences (MoES)

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.

Software Moderate Smart Education 10 KCT slots National: 0/500
AI / ML & Computer VisionGIS, Satellite & Remote SensingDisaster & Environment

💡 Before you commit — think it through

Guided
How is this solved today?

List the current tools/products/manual methods people use for this. Judges want to see you know the landscape.

Where's the real gap?

What do today's solutions get wrong or miss? That gap is your opening.

Who actually feels this?

Name a real person or place near you affected by this. Plan to talk to them.

What would make yours different?

One angle no other team would take. This is what wins the pitch.

The problem

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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