In this university final project for an Algorithmic Complexity course, we have recreated a product's recommendation section usually found in real e-commerces using Prim's graph algorithm. We chose products and recommended them based on their category similarities.

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❓About The Project

Built With

🔧Getting Started

Installation

1. Clone the repo

   git clone https://github.com/sayufu/graphy-app

2. Install NPM packages in the cloned file

   npm install

3. Run the following command for the Tailwind changes

   npm run dev

💡Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📜License

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

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