An AI-powered conversational assistant that lets industries, startups, and consumers ask questions and find relevant Indian Standards and BIS services using natural language.
Ministry of Consumer Affairs, Food & Public Distribution · Department of Consumer Affairs (DoCA) · Software
Signing in saves it for your whole team, so 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.
Natural Language Interface
A conversational text or voice interface that allows users to type or speak queries in plain language.
Retrieval Engine
A search and retrieval system that pulls accurate information from authorized BIS documents and sources.
Standard Recommendation
A module that suggests applicable Indian Standards based on user product descriptions.
Guidance Module
A component that explains certification schemes, licensing procedures, and hallmarking rules.
Multilingual Support
Features that allow users to interact with the assistant in multiple languages.
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 assistant provides source-backed answers with references to specific documents or clauses, handles multilingual queries accurately, and successfully recommends standards based on product descriptions.
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.
Which specific languages must be supported?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The exact dataset or API endpoints for BIS documents?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The acceptable response latency?
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 natural language interface. How would you build that?
Decoded from SIH26107 itself: A conversational text or voice interface that allows users to type or speak queries in plain language. The brief asks for it by name.
The brief asks for retrieval engine. How would you build that?
Decoded from SIH26107 itself: A search and retrieval system that pulls accurate information from authorized BIS documents and sources. The brief asks for it by name.
The brief asks for standard recommendation. How would you build that?
Decoded from SIH26107 itself: A module that suggests applicable Indian Standards based on user product descriptions. The brief asks for it by name.
The brief asks for guidance module. How would you build that?
Decoded from SIH26107 itself: A component that explains certification schemes, licensing procedures, and hallmarking rules. The brief asks for it by name.
The brief asks for multilingual support. How would you build that?
Decoded from SIH26107 itself: Features that allow users to interact with the assistant in multiple languages. 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 assistant provides source-backed answers with references to specific documents or clauses, handles multilingual queries accurately, and successfully recommends standards based on product descriptions.
This is the evaluator read for your problem statement, decoded from the brief's own wording.
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.