AI Backgammon Portes & Plakoto

Seeking a skilled developer to expand our existing Python backgammon game (portes) by integrating a new variant, Plakoto, into the platform. Our current setup features two deep learning algorithms designed to challenge the player. The focus of this project is to enable users to select which game variant they wish to play against our AI: the traditional portes or the intriguing Plakoto.

**Project Goals:**
- Integrate Plakoto into the current Python backgammon game.
- Allow users to select between Portes or Plakoto against AI.
- Maintain the use of the existing deep learning algorithms for AI in both game modes.

**Requirements:**
- Proficient in Python and familiar with deep learning algorithms.
- Experience in game development, specifically board games.
- Ability to implement user interfaces for game selection and gameplay.
- Knowledge of AI integration within games to ensure a challenging yet fair experience for the player.

**What I Provide:**
- Full access to the existing Python codebase and deep learning algorithms.
- Detailed explanation of Plakoto rules and mechanics.
- Feedback on integration and gameplay adjustments as needed.

**Ideal Skills and Experience:**
- Strong Python development skills.
- Experience in deep learning algorithm implementation.
- Previous experience with game development, AI integration, and UI/UX design.
- Creative problem-solving skills and attention to detail.

This project will not only enhance our current game offering but also provide users with a richer, more diverse gameplay experience. If you have a passion for game development and AI, I invite you to bring your skills to this exciting challenge.