Welcome to my repository for the CS50 AI course by Harvard University! This repository includes two exciting projects I completed as part of the course: Movie Star Finder and Tic-Tac-Toe AI. Explore these projects to see how I applied AI techniques using Python.

• Course Overview
• Project 1: Movie Star Finder
• Project 2: Tic-Tac-Toe AI
• Installation and Usage
• Future Plans
• Acknowledgments
• License

The CS50 AI course offers an introduction to artificial intelligence, covering essential topics such as search algorithms, game theory, and machine learning. The course is project-based, allowing hands-on practice with real-world applications of AI techniques.

Description: The Movie Star Finder project uses AI techniques to recommend movie stars based on various criteria. This project leverages machine learning algorithms to analyze and predict movie star recommendations.

Technologies Used:

• Python
• Scikit-learn
• Pandas
• NumPy
• Movie database APIs

Key Learnings:

• Implemented machine learning models for recommendation systems.
• Gained experience with data preprocessing and feature engineering.
• Explored API integration for accessing movie and actor data.

Description: The Tic-Tac-Toe AI project involves creating an intelligent agent that plays Tic-Tac-Toe. The AI uses the minimax algorithm to make optimal moves and challenge human players effectively.

Technologies Used:

• Python
• Minimax Algorithm
• Basic AI Techniques

Key Learnings:

• Implemented the minimax algorithm for optimal decision-making.
• Learned about game theory and recursive algorithms.
• Developed a functional AI that plays Tic-Tac-Toe.

To run these projects locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/sik247/Harvard_CS50AI.git