About the challenge

HealthML Challenge is an online student hackathon focused on applying machine learning and data science to real-world healthcare problems.

Modern healthcare generates vast amounts of data, yet many clinical, operational and public health challenges remain unsolved. This hackathon invites students to design intelligent solutions that improve outcomes for patients, clinicians and communities. From predictive modelling and medical NLP to digital health applications and responsible AI systems, participants will explore how technology can create meaningful impact in healthcare.

We value thoughtful problem selection, technical rigour and realistic solutions over flashy demos. Projects should be evidence-based, ethically responsible and practically deployable.

HealthML Challenge is a space to learn, collaborate and build AI that truly matters.

Get started

  • Register for the hackathon on Devpost

  • Form a team (1–4 students) or participate solo

  • Choose a healthcare challenge you care about

  • Build an AI, machine learning or data-driven solution

  • Submit your project with code, documentation and a short demo

  • Present your work to judges and receive feedback

Requirements

What to Build

Build a working prototype that applies machine learning, AI or data science to solve a meaningful healthcare problem.

Your solution should address a real need in healthcare, public health or wellbeing and demonstrate thoughtful technical design and practical impact. Projects may be web apps, mobile apps, dashboards, models, APIs or research prototypes.

We encourage solutions such as:

  • Predictive models for risk assessment or early detection

  • NLP systems for clinical notes, wellbeing text or patient feedback

  • Decision-support tools for clinicians

  • Public health analytics and visualisation platforms

  • Digital health or patient self-management tools

  • Responsible and fair AI approaches for healthcare data

Focus on technical quality, usability and real-world feasibility, not just presentation.

What to Submit

Required

  • Project title and description

  • Problem statement and motivation

  • Link to source code (GitHub/GitLab/etc.)

  • Screenshots or visuals (Optional)

Hackathon Sponsors

Prizes

1 non-cash prize
Best HealthML Project Award
1 winner

Winner receives:

Certificate of achievement
Portfolio and CV credential

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Rifa Ferzana

Judging Criteria

  • Impact
    Does the project address a meaningful and realistic healthcare problem with clear potential benefit?
  • Technical Quality
    Appropriateness of methods, model design, implementation quality and engineering rigour.
  • Innovation
    Creativity and originality of the idea or approach.

Questions? Email the hackathon manager

Tell your friends

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.