All problem statements
SIH26070SoftwareDisaster Management

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.

Ministry of Earth Sciences (MoES)

Ideas submitted
123 / 500
Deadline
30 September 2026
Category
Software
Theme
Disaster Management

Looks like it needs

AI / MLComputer VisionData / Analytics

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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How contested this one is

as of 28 Sept
123ideas submitted+31 in 2 days

That puts it 93rd of the 240 statements that have any ideas at all, out of 240 on the board. It is moving, so the field here is already forming.

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Counted from the official portal twice a day. The portal itself only shows today.

What a jury will ask about this

  1. 01“Who actually faces this problem today?”

    What works: Naming one real person and what they do instead right now. Reading the statement back is not an answer, they already read it.

  2. 02“This already exists. Why yours?”

    What works: That existing tools are consumer products. Yours is built for the ministry, works offline, in the local language, on official data.

  3. 03“Then why has nobody solved it yet?”

    What works: The real blocker. No connectivity, no incentive, nobody owns the data. You only know this if you read the ministry's own reports.

All 18 questions, with the trap answers →

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