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.
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
- 369 / 500
- Deadline
- 5 October 2026 · closed
- Category
- Software
- Theme
- Disaster Management
Looks like it needs
AI / MLComputer VisionData / Analytics
How contested this one is
as of 11 Nov369ideas submitted
That puts it 117th of the 265 statements that have any ideas at all, out of 265 on the board. It has not moved since the last check.
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Winning Presentation Decks
Preparing your pitch deck for SIH26070?
Download 3 real winning Smart India Hackathon presentations (PDF) with worked feasibility slides, jury defense notes, and the 6-slide official AICTE template blueprint.
What a jury will ask about this
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.
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.
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.
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