A cross-platform mobile app that acts as a virtual business manager, letting marginalized artisans use AI voice notes and camera tools to easily create professional product listings and access digital markets.
Ministry of Social Justice and Empowerment (MoSJE) · Department of Social Justice and Empowerment · Software
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Decomposed from what the description asks for. Nothing added.
AI Image Enhancer
A camera module that uses AI to remove backgrounds, fix lighting, and format product photos to e-commerce standards.
Multilingual Auto-Cataloger
An NLP engine that takes voice notes in regional languages and generates SEO-friendly product descriptions in English and Hindi.
Dynamic Pricing Assistant
An algorithm that analyzes product details to suggest competitive selling prices based on market trends and material costs.
Backend and Storage
A scalable backend architecture to manage user profiles, product catalogs, and buyer connections.
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 mobile app has a minimalist UI/UX suitable for low-literacy users, works with regional voice notes, and successfully enhances product images and pricing using AI.
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 government e-marketplaces or B2B platforms the app needs to integrate with?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Exact raw material cost data sources for the pricing assistant?
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 ai image enhancer. How would you build that?
Decoded from SIH26090 itself — A camera module that uses AI to remove backgrounds, fix lighting, and format product photos to e-commerce standards. 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 brief asks for multilingual auto-cataloger. How would you build that?
Decoded from SIH26090 itself — An NLP engine that takes voice notes in regional languages and generates SEO-friendly product descriptions in English and Hindi. The brief asks for it by name.
The brief asks for dynamic pricing assistant. How would you build that?
Decoded from SIH26090 itself — An algorithm that analyzes product details to suggest competitive selling prices based on market trends and material costs. The brief asks for it by name.
The brief asks for backend and storage. How would you build that?
Decoded from SIH26090 itself — A scalable backend architecture to manage user profiles, product catalogs, and buyer connections. 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 mobile app has a minimalist UI/UX suitable for low-literacy users, works with regional voice notes, and successfully enhances product images and pricing using AI.
This is the evaluator read for your problem statement, decoded from the brief's own wording.