A mobile-optimized web application and messaging gateway that predicts hyper-local monsoon behavior and sends actionable farming advisories directly to farmers and extension officers.
Ministry of Earth Sciences (MoES) · National Centre for Medium Range Weather Forecasting (NCMRWF) · Software
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Decomposed from what the description asks for. Nothing added.
Climate Data Ingestion
Ingests global climate indices such as ENSO, IOD, and MJO alongside regional atmospheric data.
Hybrid Predictive Model
A machine learning or mathematical model that downscales global conditions to predict localized rainfall anomalies and dry spells.
Risk Mapping Engine
Generates dynamic and color-coded risk maps at the block or panchayat level showing monsoon probabilities.
Agronomic Advisory System
Translates rainfall probabilities into crop-specific advisories for sowing and irrigation.
Notification Gateway
Pushes clear text advisories in regional Indian languages via web app, SMS, or WhatsApp API.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The jury will check if the model can successfully downscale global climate data to block or village levels and if it translates those predictions into clear, regional language advisories for farmers.
A jury can still ask about these. Decide them deliberately rather than by accident.
Generated from the brief's own wording and the competition's published rules — never from a guess about what this ministry prefers.
Which specific block or village datasets will be provided for training and testing?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Which regional Indian languages must be supported?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Exact accuracy thresholds required for the monsoon onset predictions?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Has any part of this been shown at a previous event, hackathon or college project?
The guidelines are explicit: your solution must not have appeared in any previous event or programme, of any sort. A recycled project is what a team under time pressure reaches for.
What the organisers attached, and what the brief assumes you can get.
Same organisation, same year. Reading two of theirs tells you more about what they care about than reading one.
Pick what you are about to do and copy the prompt. It carries the organisers' own wording, the constraints they never spell out, and an instruction not to invent requirements they never set.
Who has this problem, what already exists, and what you would have to find out.
The brief asks for climate data ingestion. How would you build that?
Decoded from SIH26086 itself — Ingests global climate indices such as ENSO, IOD, and MJO alongside regional atmospheric data. The brief asks for it by name.
The brief asks for hybrid predictive model. How would you build that?
Decoded from SIH26086 itself — A machine learning or mathematical model that downscales global conditions to predict localized rainfall anomalies and dry spells. The brief asks for it by name.
The brief asks for risk mapping engine. How would you build that?
Decoded from SIH26086 itself — Generates dynamic and color-coded risk maps at the block or panchayat level showing monsoon probabilities. The brief asks for it by name.
The brief asks for agronomic advisory system. How would you build that?
Decoded from SIH26086 itself — Translates rainfall probabilities into crop-specific advisories for sowing and irrigation. The brief asks for it by name.
The brief asks for notification gateway. How would you build that?
Decoded from SIH26086 itself — Pushes clear text advisories in regional Indian languages via web app, SMS, or WhatsApp API. The brief asks for it by name.
Where does your data come from — a published source, one you collect, or one you generate?
No dataset is attached to this problem statement, so sourcing it is part of the work and nobody told you that.
Why not use what already exists? Name the closest thing to this that is already running.
A team that has not named the alternative themselves is answering this for the first time in the room.
Which single thing will you demonstrate end to end, start to finish, with nothing skipped?
Ours, not a rule: a narrow thing that fully works survives questioning better than a broad thing that half works. If nobody on the team can name it, that is the finding.
Show me this working: the jury will check if the model can successfully downscale global climate data to block or village levels and if it translates those predictions into clear, regional language advisories for farmers.
This is the evaluator read for your problem statement, decoded from the brief's own wording.