Program guide

How to apply to Pixels To Prognosis

Shaastra 2027 (IIT Madras) medical-AI challenge: an online quiz, then train a glioma MRI segmentation model on a provided BraTS-derived dataset; finalists adapt it to messy real scans at IIT Madras. Students of any college and stream, teams of 1–3.

Official page Listing details

Step by step

Check that you are eligibleThe published rules: Open to students; Undergraduate and postgraduate students from any college and any stream; teams of 1–3; free. Train only on the provided data, no pretrained weights, Colab runtime of 9 hours or less.
Gather the materialsYou will need: Application form answers, Test scores, Work samples.
Write the answersApply with links to things you have built; organisers want people who will ship something.
Submit on the official pageApply through the official page (Unstop) before 27 November 2026, and keep the confirmation.
Follow upNote when results are due. If the organiser invites questions, ask once, briefly, after the date has passed.

Timeline

28 days before the deadlineCheck fit and list the materialsRead the official page, confirm every eligibility rule and list what the application asks for.
By 6 November 2026Draft the answers and documentsDraft each written answer and document from what you already have, citing real facts only.
By 20 November 2026Review against the criteriaReread every answer against the published criteria, fill the gaps and check every upload.
By 25 November 2026Submit and keep the confirmationSubmit before the last day; portals slow down near deadlines. Save the confirmation.

At a glance

Organizer: IIT Madras (Shaastra 2027)
Timing: Apply by 27 November 2026
Cycle: Registration on Unstop closes at 00:00 IST on 28 November 2026 (the event text says '28th December', which conflicts with the 5 December quiz); Round 1 online quiz 5 December; Round 2 model submissions 9–16 December; finals at IIT Madras 4 January 2027.
Where: Chennai, India
What you get: ₹35,000 in prizes
Cost: Free to apply and take part
Applied through: Unstop
Account: You need an account on the application system

Who can apply

Open to students
Undergraduate and postgraduate students from any college and any stream; teams of 1–3; free. Train only on the provided data, no pretrained weights, Colab runtime of 9 hours or less.

Materials checklist

Application form answersOnward Scout drafts it from your sourced profile; you approve every line.
Test scoresOnly you can supply it: upload it once and it is attached wherever it is asked for.
Work samplesOnly you can supply it: upload it once and it is attached wherever it is asked for.

Questions you will meet, answered honestly

What have you built before?

Two or three links with a sentence each on your part in them.

Do you have a team?

Say so either way; many events help solo participants find a team.

What reviewers of hackathons look for

Apply with links to things you have built; organisers want people who will ship something.
Read the tracks and sponsor prizes in advance and pick one problem to aim for.
Plan the demo: a short video and a clear readme often matter as much as the code.

The full playbook for hackathons

How Onward Scout helps

This one is submitted on the organiser's own site, behind your login. Onward Scout prepares every answer and file in the form's order with one-tap copy, so submitting takes minutes; you mark it submitted when you're done.

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Let Onward Scout prepare your Pixels To Prognosis application

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