A software module that uses AI and speech or text analysis to assess trauma levels in helpline callers and recommend support services.
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.
Input Analysis Engine
Examines voice interactions, speech patterns, and textual narratives for emotional indicators using NLP and speech analytics.
Stress Vulnerability Index
Calculates a numerical index on a predefined scale to represent the user's stress and trauma levels.
Risk Categorization System
Places victims into Low, Moderate, High, and Critical Risk categories based on detected trauma indicators.
Automated Support Recommender
Suggests appropriate interventions like counselling, legal aid, or emergency support according to the calculated risk level.
Multilingual Processing Interface
Supports interactions in major Indian languages and dialects.
Both columns are read off the brief's own wording. Nothing here is inferred from the ministry's name.
The jury will check whether the module accurately analyzes both voice and text inputs, generates a clear risk index, categorizes risk correctly, and recommends appropriate interventions while maintaining privacy and supporting multiple Indian languages.
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.
The predefined scale range for the Stress Vulnerability Index?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The exact list of Indian languages and dialects to support?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
The specific audio and text data formats for the helpline interfaces?
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 input analysis engine. How would you build that?
Decoded from SIH26093 itself: Examines voice interactions, speech patterns, and textual narratives for emotional indicators using NLP and speech analytics. The brief asks for it by name.
The brief asks for stress vulnerability index. How would you build that?
Decoded from SIH26093 itself: Calculates a numerical index on a predefined scale to represent the user's stress and trauma levels. The brief asks for it by name.
The brief asks for risk categorization system. How would you build that?
Decoded from SIH26093 itself: Places victims into Low, Moderate, High, and Critical Risk categories based on detected trauma indicators. The brief asks for it by name.
The brief asks for automated support recommender. How would you build that?
Decoded from SIH26093 itself: Suggests appropriate interventions like counselling, legal aid, or emergency support according to the calculated risk level. The brief asks for it by name.
The brief asks for multilingual processing interface. How would you build that?
Decoded from SIH26093 itself: Supports interactions in major Indian languages and dialects. 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 whether the module accurately analyzes both voice and text inputs, generates a clear risk index, categorizes risk correctly, and recommends appropriate interventions while maintaining privacy and supporting multiple Indian languages.
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.