Connect Four Game - Human vs. AI

# Introduction This project is a Python implementation of the classic Connect Four game where a player can compete against an AI. It employs the Pygame library for the game's interface and control. The AI's decision-making is based on the Monte Carlo tree search algorithm, and the difficulty level is adjustable, allowing players to challenge themselves with smarter AI opponents. **Key Concepts:** - Utilizing Pygame for game development. - Implementing the Monte Carlo tree search algorithm for AI decision-making. ## 👀 Preview ![Connect Four Game](https://file.labex.io/namespace/718bace8-27a3-4200-a588-dde4041ceeb9/python/project-connect-four-game-human-vs-ai/challenge-1/assets/document-uid18510labid2508timestamp1484216386343.gif) ## ðŸŽŊ Tasks In this project, you will: - Learn to build a game using Pygame. - Understand the Monte Carlo tree search algorithm for AI decision-making. - Customize and enhance the AI's difficulty level. - Create a fun and interactive Connect Four game for human vs. AI battles. ## 🏆 Achievements By completing this project, you will gain experience in: - Game development with Python and Pygame. - Implementing AI algorithms for decision-making. - Fine-tuning game difficulty to challenge players. - Enhancing user interfaces for a more engaging gaming experience.

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Click the virtual machine below to start practicing