An object-oriented clone of the famous Windows game Minesweeper made in Java-Swing Framework following the Model View Controller (MVC) Architecture. Its a stand-alone desktop game which also provides save and load game functionalities.

The main design focus is the MVC architecture and the decoupled entities. Attention has been given to even minor details in order to make the game look and feel like the original game.

There is a separate "Executable Game" folder which has the directly executable game file named Minesweeper.jar :)

1- Install these:

• Java SE Development Kit 8 (JDK 8)
• After installing JDK 8, install NetBeans IDE

2- Open NetBeans IDE. Click on File -> Open Project and browse to the downloaded "Code" folder and select it. It will load the NetBeans project. Then you can read the code files or just click on the Run button to start the game.

3- In order to just play the game, there is a file named Minesweeper.jar in the "Executable Game" folder. Just double-click it and the game will start.

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If you liked the repo then kindly support it by giving it a star ⭐ and share in your circles so more people can benefit from the effort.

If you find any bugs, have suggestions, or face issues:

• Open an Issue in the Issues Tab to discuss them.
• Submit a Pull Request to propose fixes or improvements.
• Review Pull Requests from other contributors to help maintain the project's quality and progress.

This project thrives on community collaboration! Members are encouraged to take the initiative, support one another, and actively engage in all aspects of the project. Whether it’s debugging, fixing issues, or brainstorming new ideas, your contributions are what keep this project moving forward.

With modern AI tools like ChatGPT, solving challenges and contributing effectively is easier than ever. Let’s work together to make this project the best it can be! 🚀

Copyright (c) 2018-present, harismuneer

• 🕸️ Founder of Cyfy Labs: At Cyfy Labs, we provide advanced social media scraping tools to help businesses, researchers, and marketers extract actionable data from platforms like Facebook, Instagram, and X (formerly Twitter). Our tools support lead generation, sentiment analysis, market research, and various other use cases. To learn more, visit: www.cyfylabs.com

• 🌟 Open Source Advocate: I’m passionate about making tech accessible. I’ve open-sourced several projects that you can explore on my GitHub profile and on the Open Source Software PK page.

• 📫 How to Reach Me: You can learn more about my skills/work at LinkedIn. You can also reach out via email for collaboration or inquiries. For Cyfy Labs related queries, please reach out through the company website.