A machine learning approach to predicting the value of an athlete on the collegiate level.
Download source

A project made in only 36 hours for HackPrinceton. More information on how and why this was made is posted on Devpost.

• VSCode
• TensorFlow

To get a local copy up and running follow these simple steps.

In order to build and run the above code, the following are required:

• Python 3.9
• ChromeDriver (only for web scraping data)

1. Clone the repo

   git clone https://github.com/Scornz/swim-net.git

2. Navigate to local repo with cd
3. Install pip packages (venv preferred)

   pip install -r requirements.txt

Distributed under the MIT License. See LICENSE for more information.

• Michael Scornavacca - mas23@princeton.edu
• Xander Gardner - avg3@princeton.edu
• Max Kreidl - mkreidl8@gmail.com

Project Link - https://github.com/Scornz/swim-net

• Thank you HackPrinceton for organizing such a wonderful event.