About the challenge

The MATLABthon PoliMi is an event organized by MathWorks and the MATLAB Students Ambassador of the Politecnico di Milano. 

Use your MATLAB & coding skills, gaining insight into MATLAB mobile and how to create an application which uses your smartphone's sensors to retrieve and analyse data.

Get started

  • Install MATLAB Mobile on your phone and the packages “Statistics and Machine Learning Toolbox”, “Mapping toolbox”, “MATLAB Support Package for Apple iOS/Android Sensors”
  • Get the access to MATLAB drive

Requirements

What to Build

You will use MATLAB mobile to collect and export data from your smartphone's sensors; then you will build a MATLAB script (.m) or a Live script (.mlx) containing the code of the application. You can also use another program language to write the code, but using MATLAB will give you a bonus score.

You will put your code with comments and instructions on how to run it on a github folder.

What to Submit

Before the end of the Hackathon, each team must fill out the Submission Form on Devpost. This form asks for:

  • Team Name
  • Team Members
  • GitHub URL to project

Participants must ensure the GitHub URL is public

Hackathon Sponsors

Prizes

€400 in prizes
First Place Prize
1 winner

Sports Bag, hats, mugs, usb keys, playing cards

Second Place Prize
1 winner

Hats, flashlight battery, playing cards, wind-up robots

Third Place Prize
1 winner

Hats, phone stands, playing cards, wind-up robots

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Filippo Cipriani

Filippo Cipriani
The MathWorks, Inc.

Marco Lucchini

Marco Lucchini
The MathWorks, Inc.

Judging Criteria

  • Creativity
    Innovative, creative, and original work
  • Difficulty and Mastery
    Level of MATLAB knowledge demonstrated in executing the tasks
  • Functionality
    Error-free and runs without issues
  • Readability
    Clean, organized and easy to comprehend
  • Data Visualization
    Clear and insightful graphics
  • Model Making
    Transitioned between model ideas into a viable model implementation
  • Advanced Model Making
    Use of machine or deep learning techniques in model

Questions? Email the hackathon manager

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