A web platform that uses AI to forecast Antarctic sea-ice, predict iceberg movement, and suggest safe navigation routes for research vessels.
Ministry of Earth Sciences (MoES) · National Centre for Polar andOcean Research (NCPOR) · Software
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Decomposed from what the description asks for. Nothing added.
Data Ingestion Module
Collects satellite, oceanographic, and meteorological data.
Sea-Ice Forecasting Model
Uses machine learning to forecast Antarctic sea-ice concentration.
Iceberg Trajectory Predictor
Predicts the movement and paths of icebergs.
Route Optimization Engine
Identifies safe and fuel-efficient navigation routes for vessels.
Decision Support Dashboard
Displays forecasts and route recommendations to users.
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 platform integrates satellite, oceanographic, and meteorological data to accurately forecast sea-ice, predict iceberg paths, and calculate safe, fuel-efficient routes.
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.
What specific satellite, oceanographic, and meteorological data sources should be used?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What format the output routes and forecasts need to be in?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What constitutes a safe versus unsafe navigation route?
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 module. How would you build that?
Decoded from SIH26059 itself: Collects satellite, oceanographic, and meteorological data. The brief asks for it by name.
The brief asks for sea-ice forecasting model. How would you build that?
Decoded from SIH26059 itself: Uses machine learning to forecast Antarctic sea-ice concentration. The brief asks for it by name.
The brief asks for iceberg trajectory predictor. How would you build that?
Decoded from SIH26059 itself: Predicts the movement and paths of icebergs. The brief asks for it by name.
The brief asks for route optimization engine. How would you build that?
Decoded from SIH26059 itself: Identifies safe and fuel-efficient navigation routes for vessels. The brief asks for it by name.
The brief asks for decision support dashboard. How would you build that?
Decoded from SIH26059 itself: Displays forecasts and route recommendations to users. 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 platform integrates satellite, oceanographic, and meteorological data to accurately forecast sea-ice, predict iceberg paths, and calculate safe, fuel-efficient routes.
This is the evaluator read for your problem statement, decoded from the brief's own wording.
Each one is quoted from a gap in the brief, not a guess about your team.
No specific user named
The description only mentions research vessels generally without naming the specific crew role or operator using the platform.
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.