An AI-driven dashboard that researchers at polar stations can use to forecast energy loads, integrate renewable energy, and optimize fuel use.
Ministry of Earth Sciences (MoES) · National Centre for Polar andOcean Research (NCPOR) · Software
Signing in saves it for your whole team — everyone on your invite link sees the same two entries. Anything you shortlisted while signed out comes with you.
Decomposed from what the description asks for. Nothing added.
Load Forecasting Module
An AI model that predicts future energy needs based on extreme polar conditions.
Renewable Integration Tool
A system component that manages and balances renewable energy sources with traditional power.
Fuel Optimization Engine
An algorithmic tool designed to minimize fuel consumption in harsh environments.
Energy Management Dashboard
A user interface for station operators to monitor energy consumption and system performance.
Generated from the brief's own wording and the competition's published rules — never from a guess about what this ministry prefers.
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 load forecasting module. How would you build that?
Decoded from SIH26061 itself — An AI model that predicts future energy needs based on extreme polar conditions. The brief asks for it by name.
The brief asks for renewable integration tool. How would you build that?
Decoded from SIH26061 itself — A system component that manages and balances renewable energy sources with traditional power. The brief asks for it by name.
The brief asks for fuel optimization engine. How would you build that?
Decoded from SIH26061 itself — An algorithmic tool designed to minimize fuel consumption in harsh environments. The brief asks for it by name.
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 official description is only 161 characters, so we have held back the evaluator read and the risk flags rather than guess at them.
The brief asks for energy management dashboard. How would you build that?
Decoded from SIH26061 itself — A user interface for station operators to monitor energy consumption and system performance. 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.