A real-time GIS dashboard that uses data fusion to forecast convective storms, hail, and cloudbursts up to six hours in advance for local administrations and aviation.
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.
Data Ingestion Engine
Ingests high-frequency data streams from Doppler Weather Radars, INSAT satellites, and lightning detection networks in real time.
Data Fusion Module
Fuses heterogeneous meteorological streams to automatically detect early convective initiation.
Storm Forecasting Module
Dynamically forecasts severe storm parameters like lightning density, hail probability, downburst velocity, and cloudburst thresholds.
GIS Mapped Dashboard
Displays high-resolution hazard zones on an interactive map with live countdown clocks for storm arrivals.
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 system can ingest real-time streams from radars, satellites, and lightning networks, and whether it displays high-resolution hazard zones with live countdown clocks on a GIS map.
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.
Specific data source formats and APIs for radar and satellite feeds?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Exact machine learning or statistical algorithms required for the forecast?
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.
The brief asks for data ingestion engine. How would you build that?
Decoded from SIH26084 itself — Ingests high-frequency data streams from Doppler Weather Radars, INSAT satellites, and lightning detection networks in real time. The brief asks for it by name.
Each one is quoted from a gap in the brief, not a guess about your team.
No dataset provided
The description depends on real data, and the organisers have not attached a dataset link.
Needs data you may not get
The system requires live data streams from Doppler Weather Radars and INSAT-3D/3DR satellites which students cannot easily obtain.
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 data fusion module. How would you build that?
Decoded from SIH26084 itself — Fuses heterogeneous meteorological streams to automatically detect early convective initiation. The brief asks for it by name.
The brief asks for storm forecasting module. How would you build that?
Decoded from SIH26084 itself — Dynamically forecasts severe storm parameters like lightning density, hail probability, downburst velocity, and cloudburst thresholds. The brief asks for it by name.
The brief asks for gis mapped dashboard. How would you build that?
Decoded from SIH26084 itself — Displays high-resolution hazard zones on an interactive map with live countdown clocks for storm arrivals. 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 system can ingest real-time streams from radars, satellites, and lightning networks, and whether it displays high-resolution hazard zones with live countdown clocks on a GIS map.
This is the evaluator read for your problem statement, decoded from the brief's own wording.