Join us for a Hackathon at the University Technology of Malaysia (UTM,JB), where teams of students will come together to build innovative solutions using artificial intelligence. The hackathon will take place in the campus and will provide participants with the opportunity to collaborate and showcase their skills, while tackling real-world challenges. Participants will have access to a range of MathWorks tools and technologies to create impactful solutions. This hackathon is the perfect opportunity to learn, network, and make an impact in the AI community.

 

Requirements

Date

14th June 2025

Eligibility

Open to all undergraduate students of Malaysia

Project and Submission Requirements

You must use Mathworks technologies in your submission

Teams can consist of 1 to 4 members

Prizes

The top 3 and additional special category winners will be eligible for cash prize and/or additional gifts.

Judging Criteria and Winner Selection

The winners will be decided by the judging committee on the day of competition based on the rubrik provide in rulebook.

Hackathon Sponsors

Prizes

$698 in prizes
FIRST PLACE
$350 in cash
1 winner

MathWorks x Design T-shirt
Eco-Friendly Baseball Cap
Drawstring Bag
Bamboo stylus Pen
Stickers
Merits & Certificates

SECOND PLACE
$250 in cash
1 winner

MathWorks x Design T-shirt
Eco-Friendly Baseball Cap
Drawstring Bag
Bamboo stylus Pen
Stickers
Merits & Certificates

THIRD PLACE
$98 in cash
1 winner

MathWorks x Design T-shirt
Eco-Friendly Baseball Cap
Drawstring Bag
Bamboo stylus Pen
Stickers
Merits & Certificates

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Caner Dogan

Caner Dogan
Customer Success Engineer @MathWorks

Prof. Madya Dr. Norma Bt Alias

Prof. Madya Dr. Norma Bt Alias
UTM

Mr. Douglas Chong

Mr. Douglas Chong
TechSource

Judging Criteria

  • Creativity
    Innovative, creative, and original work
  • Difficulty and Mastery
    Level of MATLAB knowledge shown and how challenging the solution is.
  • Functionality
    The project runs smoothly without major errors or bugs.
  • Readability
    Code is clean, organized, and easy to understand.
  • Data Visualization
    Graphs or visual outputs are clear, meaningful, and easy to interpret.
  • Model Making
    Project shows logical thinking from idea to working model.
  • Advanced Model Making
    Use of machine learning or deep learning techniques is a plus.
  • Delivery Method
    Presentation is engaging, informative, and creatively delivered.
  • Quality
    Attention to detail, technical execution, and polish of the final output.
  • Clarity
    The message and solution are clearly explained and communicated.

Questions? Email the hackathon manager

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