ColorLearn is a machine learning algorithm that, given a color, attempts to categorize it. The more colors it learns, the more accurate it is at successfully guessing colors.
Users can use the program in one of two ways: Through REST API calls (shown at my website), or by using the GUI in the app.
For either method, first install the required packages with pip install -r requirements.txt.
To use the GUI, run main.py. To host the REST API, run model/__init__.py.
Given a color, the program will analyze its red, green, and blue values and graph their values on a 3D graph along with all other colors that it has seen. Then, it finds the three closest colors of each color type on that graph, and calculates the average of each color type. The color with the lowest average distance is concluded to be the same color, meaning the bot has figured out the color.
The program was made using Python. The built-in GUI for ColorLearn is made using Tkinter, and the REST API was created using flask.