Connect Four Game - Human vs. AI | Challenge

# 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


## 🎯 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.