https://github.com/mansurpro/dinomindevolution

This project uses neural evolution to train a neural network to play the Google Chrome Dinosaur Game autonomously.
https://github.com/mansurpro/dinomindevolution

ai algorithms dinosaur-game game neat-algorithm neat-python neural-networks pygame python3

Last synced: 9 months ago
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This project uses neural evolution to train a neural network to play the Google Chrome Dinosaur Game autonomously.

• Host: GitHub
• URL: https://github.com/mansurpro/dinomindevolution
• Owner: MansurPro
• License: mit
• Created: 2024-11-30T20:37:05.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-01T00:16:51.000Z (about 1 year ago)
• Last Synced: 2025-03-27T12:14:31.409Z (9 months ago)
• Topics: ai, algorithms, dinosaur-game, game, neat-algorithm, neat-python, neural-networks, pygame, python3
• Language: Python
• Homepage:
• Size: 853 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 🦖 Dino AI Game  

**A thrilling AI-powered game where dinos evolve to dodge obstacles and reach high scores!**  

Built with **Python**, **Pygame**, and **NEAT**, this project is a showcase of NeuroEvolution in action.  

![Game Screenshot Placeholder](demo/demo_gif.gif)

---

## 🚀 Features  

✨ **AI Evolution:** Watch dinos learn and improve with each generation.  

🎨 **Customizable Skins:** Choose from a variety of dino skins.  

🌵 **Dynamic Obstacles:** Randomly generated cacti with increasing difficulty.  

📈 **Score Tracking:** Real-time score display with generation stats.  

🧠 **Neural Networks:** Powered by NEAT to create intelligent dino players.  

---

## 🛠️ Prerequisites  

Ensure you have the following installed before starting:  

- **Python 3.8 or higher**  

- **Pygame library**  

- **NEAT-Python library**  

---

## 📥 Installation  

1. Clone the repository:  

   ```bash

   git clone https://github.com/MansurPro/DinoMindEvolution.git

   cd DinoMindEvolution

   ```

2. Install dependencies:  

   ```bash

   pip install pygame neat-python

   ```

3. Place sprite assets in the `sprites/` directory:  

   - `sprites/dino/`  

   - `sprites/cactus/`  

   - `sprites/road.png`  

---

## 🎮 How to Play  

1. Run the game:  

   ```bash

   python main.py

   ```

2. Sit back and watch the AI dinos evolve to avoid obstacles.  

3. Play the game

   ```bash

   python dino_game.py

   ```

---

## ⚙️ Configuration  

The AI configuration is defined in `config-feedforward.txt`. Modify parameters to customize the AI behavior.  

Example:  

```txt

[NEAT]

fitness_criterion     = max

pop_size              = 20

fitness_threshold     = 10000

```

💡 *Tip: Adjust `pop_size` and `fitness_threshold` to balance performance and complexity.*  

---

## 🖼️ Screenshots  

### Main Game  

![Main Game Screenshot](demo/demo_game.gif)  

### Neural Network in Action  

![Neural Network Screenshot](demo/demo_gif.gif) 

---

## 🧠 How It Works  

1. **Initialization:**  

   - Creates a population of dinos, each controlled by a neural network.  

2. **Gameplay Loop:**  

   - Dinos dodge cacti by learning to jump.  

   - Fitness scores improve with survival and penalize unnecessary jumps.  

3. **Evolution:**  

   - NEAT evolves the neural networks, refining dino behavior across generations.  

---

## 🔮 Future Enhancements  

- 🎵 Add sound effects and background music.  

- 🏆 Create a leaderboard for players.  

- 🔍 Visualize neural networks in real time.  

- 🌌 Introduce dynamic backgrounds and weather effects.  

---

## 📝 License  

This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.

---

## 💬 Contact  

👤 **Your Name**  

📧 Email: [mansurbek1203@gmail.com](mailto:mansurbek1203@gmail.com)  

🌐 GitHub: [@MansurPro](https://github.com/MansurPro)