Transform Data into Real-World Impact

• Students must use Altair AI Studio to create their submission.
• Students may enter as individuals or as part of a team. There is no limit to team size, but the prizes are only awarded to the person who submits the entry,  not to each person on the team.
• Students may enter several entries, but can only submit one submission per category. If more than one entry per category is submitted, only the first one will be reviewed by the judges. Each submission must be unique.
• All judging is at the discretion of Altair, and all decisions made by Altair are final.
• Download and read the terms and conditions of the Altair Global Student Contest before you submit.

REQUIRED: All data workflows must be created using Altair AI Studio. 

• Python/R integration (e.g., Python Learner, Python Model, R Model operators). 

• Extensions available in AI Studio (e.g., Generative AI, text analytics, deep learning, etc.). 

A short video explaining your project and accomplishing the following:

• 5 minutes maximum length
• Clear presentation of your results and gained insights.
• Explanation of how your analysis helped you make effective decisions or solve the problem. 

Make sure to follow the rules and meet the requirements.

Tell a clear story

• Define your use case
• Explain/ show your process (e.g., planning --> learning --> solving --> testing --> results)
• End with impact (e.g., How does your project make a difference, or what’s next?)
• Use clear, natural narration (i.e., avoid mumbling or rushing)
• Record in a quiet space (avoid background noise)
• If you're using background music, keep it low so your voice is always easy to hear.

Be creative

• Show yourself and your personality
• Use clear visuals
• Show, don’t just tell—include footage of your prototype, tests, simulations, or data visualizations.

Watch and imitate the Sample Submission Video

The video will be judged by:

1. Relevance (real-world use case) and originality of the problem.
2. Workflow Design - Data preparation and modeling quality.
3. Clarity of insights and results (i.e., how clearly the results are presented and whether meaningful insights were drawn from the analysis).
4. Decision Support (i.e., how effectively the submission connects results to practical decisions or real-world applications).
5. Presentation Quality (i.e., video and audio quality, creativity of presentation, etc.) 

Extra credit will be awarded for:

• using multiple or advanced features of Altair software
• posting or promoting your video on your preferred social media platform, tagging Altair in the post, and adding the link to the post in their video description. 

For Category 1

• You can submit a project you’ve already completed using Altair AI Studio (e.g., from a school project or another contest or hackathon), as long as it follows the contest requirements.
• Creativity counts and will get you more points!
• You can choose the type of analysis (e.g., predictive modeling, clustering, sentiment analysis, visualization, or a combination).
• This category is great for those who are creative, innovative, and have a strong interest in specific topics or types of data.

For Category 2

• Experiment with different modeling approaches and visualize your results for better interpretability.
• This option is great if you want a guided challenge with clear evaluation criteria to guide your work. 

For Category 3

• Be creative and think outside the box
• You can adjust your objective to your own interests around the provided data.
• This option rewards originality, innovation, and creative use of the provided dataset.

The more creativity and own input you provide in your project, the more points you will get from the judges.

• E.g., a great category 1 project is going to get more points than a great category 2 or 3 project.
• But a great category 3 project and video can get more points than a poorly executed or explained category 1 project.