Event Details

Date: 22 March 2024 (Friday)

Time: 9.00AM - 7.30PM

Location: NTU TR+78

About the challenge

MAT-HACK! is a thrilling AI Hackathon focused on harnessing the power of MATLAB to innovate in the realm of fitness technology. Participants are challenged to create their own fitness tracker using sensor data from smartphones, turning raw data into valuable insights for enhancing workout effectiveness. This intense, one-day event invites both beginners and advanced programmers to push the boundaries of what is possible with MATLAB.

Get started

Join us on Discord!:
https://discord.gg/yVrzVX8AbC

Resources:

GitHub - mathworks/matlab-mobile-fitness-tracker
https://matlabacademy.mathworks.com/
https://www.mathworks.com/discovery/artificial-intelligence.html

Requirements

What to Build

Using sensor data retrieved from your phone, the goal is to create a model to turn this data into useable results to inform someone about how effective their workout was. This output data could include any sort of fitness data such as calories burned, steps taken, or flights climbed. Your task is not only to figure out what information you want to output, but also how to make a model to output this information. If possible, these models should utilize machine or deep learning techniques. Once you have a model and results, you will need to present your findings in an easy-to-understand manner.

What to Submit

Please sumbit your MATLAB onramp certificate as it is a prerequsite for the hackathon.

Hackathon Sponsors

Prizes

1 non-cash prize
Mathworks Swag
3 winners

Top 3 Projects will win prizes from MathWorks!
Includes:
Bags, T-shirts, Baseball cap and many more!

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Dr Supraja

Dr Supraja
NTU EEE Professor

Romeo Cabading

Romeo Cabading
Techsource Systems Principal Application Engineer

Ian Philip Lowe

Ian Philip Lowe
Techsource Systems Application Engineer

Judging Criteria

  • MatLab Model (70%)
    Creativity (10%) Difficulty and Mastery (10%) Functionality (10%) Readability (10%) Data Visualization (10%) Model Making (10%) Advanced Model Making (10%)
  • Presenting Results (30%)
    Creativity (10%) Interesting delivery methods, innovative and informative Quality (10%) Technical execution of material and attention to detail Concept(5%) Engaging, coherent, and appropriate Clarity(5%) Message is clear and well-communicated

Questions? Email the hackathon manager

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