An AI mobile app that uses image processing to assess onion quality, grade them, and generate a digital report for procurement centers.
Ministry of Consumer Affairs, Food & Public Distribution · Department of Consumer Affairs (DoCA) · Software
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Decomposed from what the description asks for. Nothing added.
Image Capture Module
Allows users to take pictures of onions using a mobile device.
Quality Analysis Engine
Processes images to identify damaged, rotten, sprouted, or undersized onions.
Grading Calculator
Estimates Grade A and URS percentages based on the quality assessment.
Report Generator
Generates and displays a digital quality report instantly.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The evaluators will check if the mobile app can accurately process images to detect defects like rotten or sprouted onions and correctly estimate grade percentages in real time.
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 exact criteria define Grade A versus URS onions?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Which mobile operating systems must be supported?
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 image capture module. How would you build that?
Decoded from SIH26031 itself — Allows users to take pictures of onions using a mobile device. The brief asks for it by name.
Each one is quoted from a gap in the brief, not a guess about your team.
No measurable target
The description gives no minimum accuracy percentage required for the image processing.
No specific user named
The text refers to procurement centers generally without naming the specific worker role using the app.
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 quality analysis engine. How would you build that?
Decoded from SIH26031 itself — Processes images to identify damaged, rotten, sprouted, or undersized onions. The brief asks for it by name.
The brief asks for grading calculator. How would you build that?
Decoded from SIH26031 itself — Estimates Grade A and URS percentages based on the quality assessment. The brief asks for it by name.
The brief asks for report generator. How would you build that?
Decoded from SIH26031 itself — Generates and displays a digital quality report instantly. 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 evaluators will check if the mobile app can accurately process images to detect defects like rotten or sprouted onions and correctly estimate grade percentages in real time.
This is the evaluator read for your problem statement, decoded from the brief's own wording.