Artificial Intelligence continues to transform industries, research, and everyday life. To encourage innovation and practical problem-solving in AI, MathWorks has launched the first edition of the MathWorks AI Challenge, inviting students, researchers, and engineers from around the world to develop impactful AI solutions.
The competition offers participants the opportunity to work on real-world AI projects, showcase technical creativity, and compete for prizes of up to $1,000 USD.
About the MathWorks AI Challenge
The challenge focuses on solving problems in the field of Artificial Intelligence through innovative approaches and practical implementations. Participants can select projects from the curated Artificial Intelligence technology trends list available on the challenge project hub.
The event aims to encourage experimentation, open-source collaboration, and real-world application of AI technologies.
How to Participate
The participation process is designed to be straightforward and accessible.
Step 1: Choose a Project
Participants must select a project from the Artificial Intelligence technology trends list available on the challenge hub.
Step 2: Complete the Project Sign-Up Form
A project sign-up form is available through the selected project page. Even participants who have previously signed up can still submit solutions before the deadline.
Step 3: Build and Upload the Solution
Solutions must be uploaded to a GitHub repository under either:
- MIT License
- 2-Clause BSD License
The repository should include:
- Source code
- Documentation
- Models and datasets (if applicable)
- README.md with usage instructions and relevant links
Step 4: Submit Before the Deadline
Participants must submit the GitHub repository link through the official project submission form before the final deadline.
Important Dates
- Registration Opens: Available now
- Registration Deadline: July 18, 2025
- Submission Deadline: July 18, 2025
- Winners Announcement: August 29, 2025
Prize Structure
Top-performing teams will receive cash prizes:
- 1st Place: $1,000 USD
- 2nd Place: $500 USD
- 3rd Place: $300 USD
Additionally, other submissions that satisfy project requirements may qualify for standard submission rewards.
Eligibility Criteria
The challenge is open to:
- Students
- Researchers
- Engineers
Participants must:
- Be at least 18 years old
- Have an interest in Artificial Intelligence
Teams are allowed, but only one designated representative per team will receive the prize if selected as a winner.
Employees of MathWorks are not eligible to participate.
Participation is completely free.
Judging Criteria
Submissions will be evaluated by MathWorks engineers using a 100-point scoring system.
Evaluation Parameters
- Real-world applicability — 25 points
- Novelty and innovation — 25 points
- Quality of code and documentation — 25 points
- Depth and completeness of the solution — 25 points
Participants can also earn additional consideration by creating a YouTube tutorial explaining their project and implementation.
In case of tied scores, judges will consider:
- Difficulty level of the chosen project
- Quality of instructions and documentation
- Inclusion of a YouTube tutorial
Why This Challenge Matters
The MathWorks AI Challenge provides a valuable platform for participants to:
- Gain practical AI development experience
- Build open-source portfolios
- Collaborate on impactful projects
- Improve problem-solving and software engineering skills
- Gain visibility among AI professionals and researchers
For students and aspiring developers, participation can strengthen academic profiles, resumes, research applications, and professional portfolios.
Open-Source and Learning Focus
One of the strongest aspects of the competition is its emphasis on open-source contribution and transparent documentation. By requiring GitHub repositories and proper licensing, the challenge encourages collaborative learning and reproducible research practices.
Participants also get the opportunity to explore modern AI workflows involving:
- Machine learning
- Deep learning
- Model deployment
- Data processing
- Technical documentation
- AI application design
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