Inspiration
Our inspiration for this project was to recreate and restruct fitness questionaire used from many fitness app by using data from previous users.
What it does
The app ask fitness related questions and predict which fitness category best fit with the user ase on patterns learned from previous user (data sample).
How we built it
We programmed our application in Python and created a simple UI to collect user input. The k-mode machine learning analyzes user data, is trained on previous user data, determines which area the new user belongs to, and outputs a user fitness recommendation.
Challenges we ran into
We challenge ourself to use Python and implement K-mode machine. We run through obstacles with importing packages.
Accomplishments that we're proud of
We were able to successfully integrate a ML model.
What we learned
We learned how unsupervised machine learning work, specifically k-mode, and used it for our fitness application.
Log in or sign up for Devpost to join the conversation.