This README is specifically designed for your WahidSaeed/GameofLife repository. Since the project is built using JavaScript and HTML, this documentation focuses on a web-based implementation of the simulation.

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Conway's Game of Life

A lightweight, browser-based implementation of John Conway's Game of Life using JavaScript and HTML5 Canvas. This project simulates a cellular automaton where complex patterns emerge from a simple set of initial conditions.

🚀 Live Demo

You can run this project locally by opening the index.html file in any modern web browser.

🛠️ Features

• Grid-based Simulation: A visual representation of cells living, dying, and reproducing.
• Pure JavaScript: No external frameworks or heavy libraries required.
• Interactive UI: View the evolution of patterns in real-time.

📖 Rules of the Game

The universe of the Game of Life is a two-dimensional grid of square cells, each of which is in one of two possible states: alive or dead. Every cell interacts with its eight neighbors.

1. Underpopulation: Any live cell with fewer than two live neighbors dies.
2. Survival: Any live cell with two or three live neighbors lives on to the next generation.
3. Overpopulation: Any live cell with more than three live neighbors dies.
4. Reproduction: Any dead cell with exactly three live neighbors becomes a live cell.

📂 Project Structure

├── index.html       # The structure and canvas element for the simulation
├── main.js          # The core logic, grid rendering, and rule implementation
└── README.md        # Project documentation

💻 How to Run Locally

1. Clone the repository:

git clone https://github.com/WahidSaeed/GameofLife.git
cd GameofLife

2. Open the project:

• Simply double-click index.html to open it in your default browser.
• Alternatively, use a local server (like "Live Server" in VS Code) for a better development experience.

🔧 Customization

You can modify the simulation settings in main.js:

• Grid Size: Change the number of rows and columns.
• Resolution: Adjust the size of individual cells.
• Update Speed: Tweak the interval at which each generation is calculated.

📜 License

This project is open-source and available under the MIT License.

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**Developed by Wahid Saeed**