Artificial Intelligence
Explore responsible AI, intelligent assistants, automation, machine learning and practical AI applications.
A destination for innovators to explore challenge themes, collaborate across disciplines and turn promising ideas into demonstrable projects. From AI and education to sustainability and open source, the next breakthrough starts with a problem worth solving.
Explore potential hackathon themes, search by subject and discover where your skills could make a difference.
Explore responsible AI, intelligent assistants, automation, machine learning and practical AI applications.
Build learning tools, accessible educational experiences, assessment systems and solutions for educators.
Prototype ideas for environmental monitoring, climate resilience, circular systems and sustainable communities.
Explore responsible digital health, wellbeing tools, health education and accessible service design.
Develop defensive security tools, privacy-aware applications, security education and resilience solutions.
Create concepts for smart agriculture, rural access, supply-chain transparency and local problem solving.
Design transparent financial tools, financial literacy experiences and inclusive digital services.
Build reusable software, developer utilities, collaborative tools and accessible open-source projects.
A practical framework for participants. Individual event rules and requirements may differ.
Find a published challenge, understand its rules and identify the problem you want to solve.
Bring together complementary skills in research, design, engineering and presentation.
Research the problem, test assumptions and develop a working proof of concept.
Prepare a project explanation, demonstration and documentation that follow the event rules.
Hackathons can help participants learn through experimentation, collaborative problem solving and presenting real work.
Apply technical and creative skills to clearly defined problems and practical prototypes.
Combine different perspectives across engineering, design, research and business.
Build projects that can be explained, tested, documented and improved.
Use peer reviews, mentoring and judging feedback where event organizers provide them.
Successful teams often combine different strengths rather than relying on technical ability alone.
Turn programming, engineering, data, design and creative skills into practical project prototypes.
Bring domain knowledge, problem analysis, learning design and evidence-based approaches to a team.
Explore emerging ideas, define meaningful challenges and support responsible, practical innovation.
Explore related learning, research, technology, community and opportunity platforms within the E-Learning World ecosystem.
Explore a challenge theme, find a problem that matters and start shaping a project that you can test, demonstrate and improve.