The Multimodal Triage Assistant

Name: The Multimodal Triage Assistant
Start: 2026-09-21T18:29:00.000Z
End: 2026-09-21T18:29:00.000Z
Location: Bhubaneswar and Rourkela

It will never diagnose you. It will make sure the person who can, has everything they need in ninety seconds.

Registration closed

21 Sept 2026

Team size

3–6 members

Rounds

2 rounds

Mode

In person

Venue

Bhubaneswar and Rourkela

Registration closed

Already registered? Sign in

Role: AI/ML Engineer (Healthcare)
Format: Evaluation only
Prize: ₹60,000
Deadline: Closed 21 Sept 2026
Registered: 433

Evaluation only · Open

Build a human-in-the-loop triage assistant for government hospitals, primary health centres, public health camps, company clinics, industrial-estate health units and campus health centres. It takes patient-described symptoms, uploaded reports and basic visual inputs, and turns them into a clean, structured triage note for a qualified professional to review. It organises. It flags urgency. It never plays doctor.

Overview

Outcomes

A structured triage note generated from messy, multilingual, multimodal patient input
Faster review for the doctor, nurse or medical officer, with missing information surfaced before the consult, not during it
Urgency signals highlighted and queues prioritised without any diagnosis being made
Referral notes for higher facilities prepared in advance instead of scribbled at the door
A demonstrable consent, anonymisation and audit trail that would survive an actual privacy review

Overview The solution must work across India, where patient load, language diversity, specialist availability and digital maturity vary enormously between one facility and the next. The system is explicitly non-diagnostic. It organises information, highlights urgency signals and supports faster review. It must not prescribe treatment or replace a qualified professional. Suggested scenarios include outpatient queue triage, occupational-health screening in industrial estates, campus fever triage, maternal-health follow-up reminders, chronic disease check-in support, public health camp screening, and referral note preparation for higher facilities. The Story The queue starts forming at 6 AM. By 11 the doctor has seen sixty people and has roughly four minutes each. A patient arrives with a plastic bag containing three lab reports, two of them from 2023, one in a language the doctor does not read, and a description of the problem that begins with "it started around Diwali." Somewhere in that bag is the one detail that matters. Right now, finding it costs three of the four minutes. Give those three minutes back.

Problem statement

The prototype should collect symptoms through text or voice, extract key details from sample medical reports, summarise timelines, identify missing information, and generate follow-up questions for a health worker, nurse, doctor or medical officer
It may include OCR for lab reports, translation between English, Hindi and regional languages, risk-category tagging, queue prioritisation, referral preparation, and a reviewer dashboard
Guidelines (read these twice): use synthetic or public sample data only. Do not use real patient records. Include a clear disclaimer that the solution is an educational prototype for triage-support purposes only
Recommended technologies include OCR libraries, speech-to-text, translation, lightweight LLM summarisation, rules-based risk flags, and secure role-based access mockups
Teams should demonstrate consent, minimal data retention, anonymisation, auditability and handoff to qualified medical staff. Any health-related output must remain advisory and reviewer-facing

For the Grand Finale, your build should include:

A working intake flow accepting symptoms by text and voice, in at least two languages, producing a structured triage note
An extraction module that reads sample lab reports via OCR, pulls key values, and builds a timeline with gaps and missing-information prompts flagged
A reviewer dashboard with risk-category tagging, queue prioritisation and a clear escalation-to-human path
A referral note generator for handoff to a higher facility
A privacy and responsible-AI pack: consent flow, anonymisation approach, retention policy, audit log, role-based access mockup, and the non-diagnostic disclaimer visible inside the product itself

The Grand Finale is judged on:

Safety-first, explicitly non-diagnostic triage workflow — 20%
Quality of information extraction and summarisation — 20%
Multimodal capability — 15%
India-wide facility relevance, accessibility, and human-review/escalation design — 30%
Privacy, responsible AI controls and demo quality — 15%

Rounds

This challenge runs in 2 rounds. You enter once, and the same entry carries through.

1
Mid evaluation
Being judged
- In person · Bhubaneswar and Rourkela
- Submit by 13 Oct, 7:45 pm IST
- 8 deliverables to submit
- The top 5 move on to Grand Finale
2
Grand Finale
Coming up
- In person · BPUT, Rourkela
- Submission dates to be announced
- 5 deliverables to submit
- The final round. Results are decided here

Deliverables: Mid evaluation

Your idea in one line
One or two sentences a judge can read in ten seconds: what you are building and who it is for.
What will be working by the finale?
The parts you commit to having running at the Grand Finale, most important first.
Tech stack and hardware you plan to use
Languages, frameworks, models, boards and sensors, and anything you still need to get hold of.
A diagram, sketch or mock-up of your idea
One image that shows how it works: an architecture diagram, a wireframe, or a photo of a sketch. Put anything more in your deck.
What have you built or tested so far?
Optional. Anything already running, measured or prototyped, even if it is rough.
Pitch deck (PDF)
Optional. Export your slides as a PDF. Judges read it on the page, next to your answers.
GitHub repository
A link to your code, if you have some yet.
Demo video
A YouTube, Loom or Google Drive link to a short demo, if you have one. Make sure anyone with the link can watch it.

Deliverables: Grand Finale

A working intake flow accepting symptoms by text and voice, in at least two languages, producing a structured triage note
An extraction module that reads sample lab reports via OCR, pulls key values, and builds a timeline with gaps and missing-information prompts flagged
A reviewer dashboard with risk-category tagging, queue prioritisation and a clear escalation-to-human path
A referral note generator for handoff to a higher facility
A privacy and responsible-AI pack: consent flow, anonymisation approach, retention policy, audit log, role-based access mockup, and the non-diagnostic disclaimer visible inside the product itself

Evaluation criteria

15% Problem Understanding & Relevance
20% Innovation & Creativity
20% Solution Approach & Technical Depth
25% Prototype / Implementation & Feasibility
10% Impact, Usability & Sustainability
10% Presentation & Demonstration

Questions & answers

How I track i am in grand finale
Mahesh Kumar Sahu · 12 Oct 2026, 4:04 am
Awaiting a response

More challenges to enter

Prizes are offered and awarded by Cognizant Technology Solutions Corporation, not by Wooble. Amounts shown are as stated by the host and may include the host’s own valuation of non-cash items. Who places, how and when a prize is paid, and any tax or deduction, are between the winner and the host. A challenge may close, change or be withdrawn before results are declared.