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🎮 DeepSeek Game Room

An innovative collection of interactive games where you can watch an AI (powered by DeepSeek) solve puzzles while explaining its thought process in real-time. What makes this unique is the seamless fusion of AI reasoning with game mechanics - all in-game interactions happen through the AI's detailed thought process.

🔗 Try it out here: Deployed on Railway: https://deepseekplayground-production.up.railway.app

🎯 Current Games

🎲 Mastermind

Watch as the AI strategically cracks randomly generated color codes while walking you through its deductive reasoning process step-by-step.

Key Features:

  • 🎨 Random 4-color codes using 6 vibrant colors (Red, Green, Blue, Yellow, White, Orange)
  • 🤔 Detailed explanation of AI's thinking process for each guess
  • ✨ Visual feedback with colored pegs
  • ⚡ Real-time updates of AI's attempts and reasoning

Mastermind

🗺️ Maze Solver

Follow along as the AI navigates through procedurally generated mazes, sharing its pathfinding strategy in real-time.

Key Features:

  • 🔄 Random 6x6 maze generation with guaranteed solutions
  • 👀 Real-time visualization of AI's movement
  • 🧭 Transparent exploration strategy and decision making
  • ✅ Clear visual feedback for successful/failed moves

Maze

🚀 Quick Start

  1. Clone the repository
git clone https://github.com/Noir97/DeepSeekPlayground.git
  1. Create and activate a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
  1. Install dependencies
pip install -r requirements.txt
  1. Set your DeepSeek API key
export DEEPSEEK_API_KEY="your-api-key-here"
  1. Run the application
python app.py

Structure

├── app.py # Flask application
├── requirements.txt # Python dependencies
├── runtime.txt # Python version
├── railway.toml # Railway configuration
├── Procfile # Deployment configuration
├── games/
│ ├── mastermind_game.py
│ └── maze_game.py
├── models/
│ └── deepseek_model.py
├── static/
│ ├── js/
│ │ ├── mastermind.js
│ │ └── maze.js
│ └── style.css
└── templates/
├── base.html
├── mastermind.html
└── maze.html

Dependencies

  • Flask
  • OpenAI Python Client (for DeepSeek API)
  • Python 3.8+

Future Games (Planned)

  • Battleship: AI uses search strategy with hit/miss feedback
  • Hot/Cold Treasure Hunt: Navigation with temperature-based feedback
  • Lock Picking Puzzle: Pattern deduction from partial information

Contributing

Feel free to open issues or submit pull requests for improvements or bug fixes.

License

MIT License