This project is a machine learning model designed to detect the predominant color between black and white in an image, and we can teach it to perform its task accurately. It's built using HTML for design and JavaScript for programming. No packages are used in this project.
The current version has a limitation where it cannot save data to the database. Therefore, a button labeled "Print" has been added to the model so that you can manually retrieve the database and place it inside the code.
This project is inspired by WebDevSimplified's Machine Learning Color Contrast Picker.
To use this project, follow these steps:
-
Clone the repository:
git clone https://github.com/Sobhan-SRZA/Machine-Learning-Color-Contrast-Picker.git -
Open the
index.htmlfile in your web browser or use vscode live server. -
If you want to save the data manually, click on the "Print" button to retrieve the database and place it inside the code.
If you have any questions, suggestions, or feedback, feel free to open an issue.
Or you can create a ticket in our discord server.
This project is licensed under the MIT License.
