swim-net

A machine learning approach to predicting the value of an athlete on the collegiate level.
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About The Project

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

Built With

• VSCode
• TensorFlow

Getting Started

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

Prerequisites

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

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

Installation

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

License

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

Contact

• Michael Scornavacca - [email protected]
• Xander Gardner - [email protected]
• Max Kreidl - [email protected]

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

Acknowledgements

• Thank you HackPrinceton for organizing such a wonderful event.