Welcome to the FitnessFusion: CWRU Hacker Society MATLAB Mobile Hackathon

Fitness trackers are a relatively new and exciting technology used to track fitness data as you live your everyday life. The technology used in these devices is low-tech and can be recreated from home. In this challenge, you will use MATLAB and MATLAB Mobile to make your own fitness tracker.

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.

Note: Participants may use Python with MATLAB through MATLAB's Python integration packages. This allows you to leverage Python libraries for data processing and machine learning while still working with MATLAB's sensor data collection capabilities. Your solution can combine both languages as needed.

• 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