Nine Categories · Full Details
Category details, eligibility, FAQ, and judging rubrics for all nine GENIUS Olympiad categories — copied in full from the official geniusolympiad.org discipline guide.
Use artificial intelligence, machine learning, intelligent agents, and data analysis to solve real-world environmental problems.
Your project should:
AI Project Requirement: Simply using a pre-built AI service, chatbot, or API does not by itself qualify a project for GENIUS AI. The project must demonstrate meaningful student work in the design, adaptation, integration, training, evaluation, or validation of the AI system.
Required; up to 3 min; narrated in English. The video should include:
Upload it to YouTube (make it viewable with the link), then submit the YouTube link with your application.
Can two students work together?
Yes. AI projects may be prepared and presented by one student individually or by a team of up to two students.
Is there a specific topic or team for this year?
No. The general team and topic for GENIUS AI remain the same and do not change. The category focuses broadly on sustanibility and environmental issues.
Can I improve my project after applying?
Yes. Students are encouraged to continue improving their projects before the finals.
Can I use my own laptop?
Yes. If you have a laptop with no HDMI connection, make sure to bring your HDMI connector.
Can teachers/parents/other students attend judging?
No. Only student presenters are allowed in the judging room during their session.
Where can I get additional help if I have questions?
Before sending emails, please rules and finalist guide. If you still have questions, please send us an email at
info@geniusolympiad.org. If you question is about submitted project, make sure to include project ID numbers,
all student names, account email address, high school name, country.
| Criterion | Score | Description |
|---|---|---|
| Presentation Skills | 5 | Clarity, organization, and effectiveness of the oral and visual presentation, including the use of demonstrations and engagement with the audience. |
| Knowledge of the AI and Technical Implementation | 5 | Understanding of the AI techniques, models, tools, and frameworks used, including the student's ability to explain why they were selected and how they contribute to the solution. |
| Development & Methodology | 10 | Quality of the model’s development process, including thoughtful iteration, training approach, data handling, and validation methods. Judges will assess how systematically and effectively the model was built and refined. |
| Cost Analysis | 5 | Consideration of cost-efficiency, scalability, and practical deployment of the solution in real-world settings. |
| End Product Quality and Performance | 10 | Overall functionality, user accessibility, and environmental value of the final AI agent or system. |
| Novelty & Innovation | 20 | Creativity and originality in the design or approach of the AI solution; novelty compared to existing methods. |
| Environmental Solution | 10 | Clear alignment of the project with addressing a real-world environmental issue; relevance and potential impact. |
| Overall | 10 | General impression of the project’s innovation, technical strength, presentation, and environmental relevance. How well do all aspects of the project come together to deliver a compelling and impactful AI-based environmental solution? |
Source: geniusolympiad.org/disciplines.html — official discipline guide.