🤰 Obstetric Ultrasound AI Hackathon

A mother’s hope, a child’s future, your innovation can make a difference

Join us in an exciting, IDRC-funded initiative to revolutionize maternal health through AI. This hackathon will equip multidisciplinary teams from Uganda, Kenya, Nigeria, Nepal, and Pakistan with cutting-edge skills in Machine Learning (ML), Federated Learning (FL), and clinical imaging.

After a two-week online training in October, top teams will be selected through a mini-hackathon to attend an in-person hackathon with all expenses paid in Uganda during the 2nd AI in Health Africa Conference (November 6 - 7, 2025).

Teams must consist of 3 to 5 members from at least two fields, one in an IT-related discipline and one in a health-related field.

📄 Eligibility Details: View Criteria
📝 Apply Now: Application Form

📅 Timeline or Schedule

📅 Deadline to Apply: August 20, 2025
🖥️ Virtual Training Program: October 2025
🧠 Mini-Hackathon (Virtual): End of October 2025
🌍 In-Person Hackathon: November 6 - 7, 2025 at AI in Health Africa Conference, Kampala, Uganda

🎯 What You’ll Learn ?

🧠 Machine Learning (ML) and medical imaging for pregnancy diagnostics
🔐 Federated Learning (FL) for privacy-focused AI
🩺 Clinical context and explainability in maternal health AI
🤝 Ethical and inclusive AI development in low-resource settings

📋 Judging Criteria

✅ Attend at least 80% of live classes
✅ Complete all team lab assignments
✅ Participate in peer evaluations
🏅 Certificate awarded upon successful completion

📝 Eligibility Criteria

🌍 Applicants must be from Uganda, Kenya, Nigeria, Nepal, or Pakistan
👥 Teams of 3–5 members
🔀 Must include members from both IT and health fields
👩‍⚕️ Health workers are strongly encouraged to be part of each team
✍️ Submit a 50–100 word Statement of Interest
🚺 Strive for 40% female representation
💻 At least one member must have ML/Data Science/Software Development experience
📶 Teams must have reliable internet and computer access
🗣️ English proficiency is required

🧰 Required Tools

💻 Laptop with internet access
📹 Zoom or Microsoft Teams
📊 Google Colab or Jupyter Notebook
🧾 Provided Datasets
🐍 Basic Python understanding

🧪 Key Focus Areas

1️⃣ Machine Learning (ML) & Medical Imaging
2️⃣ Federated Learning (FL)
3️⃣ Clinical Context & Explainable AI

🧭 Objectives

🎓 Capacity Building in AI for maternal health
🧪 Model Prototyping of diagnostic tools
🛡️ Ethical Innovation in AI and health
🌐 Cross-country Collaboration for scalable impact

🏆 Prizes

✈️ All-expenses-paid trip to Uganda (flight, visa, accommodation, conference fees)
🎤 Present your solution at the Africa Health AI Conference
📄 Opportunity to publish and gain mentorship