AI-Based NIM Game Using Minimax Algorithm

I developed the classic **NIM Game** using the **Minimax algorithm**, a fundamental concept in Artificial Intelligence and Game Theory. This project demonstrates how AI can make optimal decisions in a two-player strategic game by evaluating all possible moves and selecting the best one using the Minimax strategy. Key Features: • Implementation of the classic NIM Game rules • AI opponent powered by the Minimax algorithm • Optimal move selection for competitive gameplay • Demonstrates game tree evaluation and decision making • Clean and well-structured code This project highlights my understanding of **Artificial Intelligence, game algorithms, recursion, and decision-making strategies**. Technologies used: • Programming Language: (Python) • Algorithm: Minimax • Concepts: Game Theory, Recursive Search, AI Decision Making