A web and mobile platform that uses AI and voice analytics to continuously monitor psychological distress in victims of atrocities and alert officials when intervention is needed.
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.
Multilingual Interaction Channel
A chatbot, IVRS, SMS, and mobile application interface to conduct periodic check-ins with victims.
AI Analysis Engine
An NLP and emotion AI module to analyse voice, text, and behavioural responses for distress.
Distress Scoring System
A system that generates a dynamic distress score and longitudinal trend analysis for each user.
Automated Alert System
A mechanism to trigger real-time alerts to counsellors and authorities when risk thresholds are crossed.
Multi-Level Dashboards
Dashboards for district, State, and national officials to monitor high-risk cases and view recommendations.
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 system can actually integrate multiple channels like chatbot and IVRS, accurately predict distress using voice and text analytics, and provide secure dashboards with role-based access for authorities.
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 by the conversational AI?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
What exact numerical thresholds define a crisis or trigger an alert?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Which existing APIs or databases the portal should integrate with?
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.
Each one is quoted from a gap in the brief, not a guess about your team.
No measurable target
The description requires predicting distress and setting risk thresholds, but never specifies a target accuracy percentage for the emotion AI or voice stress analytics.
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 interaction channel. How would you build that?
Decoded from SIH26094 itself — A chatbot, IVRS, SMS, and mobile application interface to conduct periodic check-ins with victims. The brief asks for it by name.
The brief asks for ai analysis engine. How would you build that?
Decoded from SIH26094 itself — An NLP and emotion AI module to analyse voice, text, and behavioural responses for distress. The brief asks for it by name.
The brief asks for distress scoring system. How would you build that?
Decoded from SIH26094 itself — A system that generates a dynamic distress score and longitudinal trend analysis for each user. The brief asks for it by name.
The brief asks for automated alert system. How would you build that?
Decoded from SIH26094 itself — A mechanism to trigger real-time alerts to counsellors and authorities when risk thresholds are crossed. The brief asks for it by name.
The brief asks for multi-level dashboards. How would you build that?
Decoded from SIH26094 itself — Dashboards for district, State, and national officials to monitor high-risk cases and view recommendations. 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 system can actually integrate multiple channels like chatbot and IVRS, accurately predict distress using voice and text analytics, and provide secure dashboards with role-based access for authorities.
This is the evaluator read for your problem statement, decoded from the brief's own wording.