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MK Italian Cuisine is a website that generates Italian foods where customer can reserve and comment the food. It also allows customer to like the food. All data is preserved thanks to the external Involvement API service.

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Mahdi-Niazi/MK-Italian-Cuisine

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MK Italian Cuisine

📗 Table of Contents

📖 About the Project

MK Italian Cuisine is a website that generates Italian foods where customer can reserve and comment the food. It also allows customer to like the food. All data is preserved thanks to the external Involvement API service.

🛠 Built With

Tech Stack

HTML
CSS
Javascript

Key Features

  • Add Linters
  • Use Gitflow
  • Use API

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🚀 Live Demo

Live Demo Link
Video Demo Link

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💻 Getting Started

Prerequisites

In order to run this project you need text editor like VSCode.

Setup

Clone this repository to your desired folder:

  git clone https://github.com/Mahdi-Niazi/Group-Capstone.git
  cd Group-Capstone

Install

npm install npm run start

Usage

To run the project, open it through live server or double click the index.html

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Run tests

To run tests, run the following command:

  • Track HTML linter errors run:
npx hint .
  • Track CSS linter errors run:
npx stylelint "**/*.{css,scss}"
  • Track JavaScript linter errors run:
npx eslint .

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👥 Author

👤 Mohammad Mahdi Niazi

👤 Katherine Cendana

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🔭 Future Features

  • Add modal
  • Make the website responsive

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🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

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⭐️ Show your support

If you like this project feel free to follow this project and hit the star.

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🙏 Acknowledgments

-I would like to thank Microverse for helping me improve my skills in web design

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❓ FAQ (OPTIONAL)

  • How can I get a copy of the project and save it in my desktop?

    • You can download the whole folder and save it in your computer or you can clone this repository.

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📝 License

This project is MIT licensed.

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About

MK Italian Cuisine is a website that generates Italian foods where customer can reserve and comment the food. It also allows customer to like the food. All data is preserved thanks to the external Involvement API service.

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