📌About the Event

Origin Medical Imaging AI Hackathon 2026 is a 2-day healthcare AI hackathon by Origin Medical Research Lab, Bengaluru. The event is focused on building impactful AI solutions for medical imaging and maternal healthcare. Student teams will test their models against real-world healthcare challenges such as biased data, edge cases, and limited context, making it relevant for students interested in AI, machine learning, biomedical engineering, medical imaging, and healthcare technology.

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ℹ️ Event Details

• Mode of conduct: In-person hackathon
• Venue: Origin Medical Research Lab, Bengaluru
• Duration: 2 days
• Hackathon dates: July 18–19, 2026
• Focus area: AI for medical imaging, healthcare AI, ultrasound AI, and maternal healthcare
• Team size: Up to 3 members
• Participants will work on: AI models that can handle real healthcare constraints such as biased data, edge cases, and limited context.

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📅 Important Dates

• Application deadline: July 7, 2026
• Hackathon dates: July 18–19, 2026
• Shortlisting: After application closure; shortlisted teams will be selected for the Bengaluru finals.
• Final round venue: Origin Medical Research Lab, Bengaluru.

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🎯 Eligibility & Rules

• Eligibility:
  • Final-year undergraduate, master’s, and PhD students
  • Preferred fields: Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, and Medical Imaging
  • Also suitable for: Students passionate about applying AI to solve real healthcare challenges
  • Team rule: Teams can have up to 3 members
  • Application requirement: Participants are expected to submit their best projects, repositories, and ideas for shortlisting.
  • Evaluation focus: The hackathon will test models in real-world medical AI conditions, including biased data, edge cases, limited context, and deployment-readiness.

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🏆 Benefits for the Participants

• Prize pool: ₹10,00,000
• Career opportunities: Internship and full-time job opportunities at Origin Medical
• Travel support: Fully sponsored travel and accommodation for shortlisted teams
• Industry exposure: Hands-on experience with real-world AI deployment in healthcare
• Learning value: Opportunity to collaborate with innovators working in AI, healthcare, ultrasound AI, and medical imaging.