A web dashboard that lets an operator upload source documents and use generative AI to convert them into multiple output formats like videos, advisories, or social media posts.
National Technical Research Organisation (NTRO) · 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.
Operator Dashboard
An interface where operators can upload source content and select desired output types and generation parameters.
Content Ingestion Engine
A module that handles text, documents, articles, reports, prompts, images, videos, or contextual information provided by the operator.
AI Generation Engine
A backend module that analyzes input content and context to generate requested artefacts based on selected parameters.
Parameter Configuration
Controls that allow operators to set target audience, tone, language, level of detail, objective, and content style.
Multi-Format Export
A component that produces structured outputs such as video packages, posts, advisories, infographics, summaries, or slides.
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 platform successfully accepts various input types and correctly generates multiple requested output formats like video packages, LinkedIn posts, advisories, and summaries based on configurable parameters.
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 AI models or APIs are permitted?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What exact video generation tools or formats are expected?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Which specific languages 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.
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 operator dashboard. How would you build that?
Decoded from SIH26154 itself — An interface where operators can upload source content and select desired output types and generation parameters. The brief asks for it by name.
The brief asks for content ingestion engine. How would you build that?
Decoded from SIH26154 itself — A module that handles text, documents, articles, reports, prompts, images, videos, or contextual information provided by the operator. The brief asks for it by name.
The brief asks for ai generation engine. How would you build that?
Decoded from SIH26154 itself — A backend module that analyzes input content and context to generate requested artefacts based on selected parameters. The brief asks for it by name.
The brief asks for parameter configuration. How would you build that?
Decoded from SIH26154 itself — Controls that allow operators to set target audience, tone, language, level of detail, objective, and content style. The brief asks for it by name.
The brief asks for multi-format export. How would you build that?
Decoded from SIH26154 itself — A component that produces structured outputs such as video packages, posts, advisories, infographics, summaries, or slides. 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 platform successfully accepts various input types and correctly generates multiple requested output formats like video packages, LinkedIn posts, advisories, and summaries based on configurable parameters.
This is the evaluator read for your problem statement, decoded from the brief's own wording.