OlympAI 3.0 Hackathon 2026
MethdAI – The AI Learning Platform
📌About the Event
OlympAI 3.0 is an international Artificial Intelligence Hackathon organised by MethdAI for school students from Classes 6 to 12. The competition encourages young innovators to develop AI-powered solutions to real-world problems through creativity, coding, teamwork and practical problem-solving. With opportunities to explore AI software, machine learning and hardware-based innovations, OlympAI 3.0 aims to strengthen technical skills while promoting solutions aligned with the United Nations Sustainable Development Goals (SDGs).
ℹ️ Event Details
- Organiser: MethdAI
- Event Type: International-level AI Hackathon for School Students
- Mode of Conduct: Online/Virtual Hackathon with a live final round.
- Participants: Students studying in Classes 6–12.
- Team Size: Minimum 2 and maximum 3 students.
- Competition Categories:
- Classes 6–8
- Classes 9–10
- Classes 11–12
- Hardware-based AI projects
- Theme: Artificial Intelligence, innovation, real-world problem-solving and sustainability.
📅 Important Dates
- Announcement of Shortlisted Teams: 28 October 2026
- Stage 3 – Live Grand Finale: 30–31 October 2026
- Results Announcement: 1 November 2026
🎯 Eligibility & Rules
- Eligibilty:
- Open to school students studying in Classes 6 to 12.
- Students must participate in teams of 2–3 members.
- Individual participation is not permitted.
- Registration must be completed through the participating school.
- Basic coding knowledge is required, although advanced programming expertise is not mandatory.
- Teams may develop AI software or hardware-based solutions.
🏆 Benefits for the Participants
- Top Performer Recognition: Awards for outstanding teams in the Classes 6–8, 9–10 and 11–12 categories.
- Hardware Innovation Recognition: Separate recognition for outstanding hardware-based AI projects.
- Teacher Recognition: Acknowledgement of educators supporting student innovation.
- School Recognition: Recognition for participating schools and their contributions to AI learning.
- Practical Learning: Hands-on experience developing AI solutions and presenting projects.
- Skill Development: Opportunities to strengthen coding, collaboration, critical thinking and communication skills.