Pong Game with Neural Network Bot

This project is a Pong game implemented using Phaser and TensorFlow.js. It features a neural network-powered bot that learns to play the game through reinforcement learning.

Features

Phaser 3: Used for rendering the game.
Neural Network: The bot is trained using TensorFlow.js to play the game against the player.
Real-Time Learning: The bot improves its gameplay after each round based on the player's actions.
Chart.js Integration: Visualizes the loss of the neural network over training epochs.

Installation

Clone the repository:

git clone https://github.com/diegofer25/pong-neural-network.git

Navigate to the project directory:
```
cd pong-neural-network
```
Install the dependencies:
```
npm install
```

Usage

Development Server

To start the development server, run:

npm start

This will start the game on http://localhost:4321. The game will automatically reload if you change any of the source files.

Production Build

To create a production build, run:

npm run build

The build files will be generated in the dist directory.

Project Structure

src/: Contains the source code of the game.
- index.html: The main HTML file.
- pong-game.scene.ts: The game scene file where the game logic is implemented.
- bot.nn.ts: Contains the neural network logic for the bot.
- plot-chart.ts: Handles the visualization of the training loss using Chart.js.
- assets/: Contains game assets such as images and sounds.

Technologies Used

Phaser 3: A fast, free, and fun open-source HTML5 game framework.
TensorFlow.js: A library for training and deploying machine learning models in the browser.
Chart.js: A simple yet flexible JavaScript charting library.
Parcel: A fast, zero-configuration web application bundler.

Contributing

Contributions are welcome! If you have any ideas, suggestions, or bug reports, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Author

This project was created by Diego Lamarão. If you have any questions or feedback, feel free to reach out!