Ludo 2.0
Python-Based Human vs AI Board Game
Ludo 2.0
Ludo 2.0 is a Python-based AI-powered board game, simulating a one-on-one match between a human player and an intelligent AI. The AI learns and predicts optimal moves by analyzing human gameplay behavior using Decision Tree Classifier and applying Fuzzy Logic for uncertain or strategic game decisions.
Key Features
- 🎲 Human vs AI Ludo gameplay
- 🧠 AI decision-making using machine learning and fuzzy logic
- 📊 Prediction of optimal moves based on historical strategies
- 🔄 Turn-based movement with intelligent prioritization
- 📁 Modular code to extend multi-player or multi-agent logic
Project Showcase
Left: In-game Ludo board simulation | Right: AI Move Prediction via Decision Tree + Fuzzy Logic
Live Demo & Source
- 💻 GitHub Repository: Ludo 2.0 on GitHub
- 🎥 Gameplay: Command-line based interaction
- 🚧 Note: GUI and multiplayer extensions are under consideration for future versions.
Tech Stack
- Language: Python 3
- ML Model: Scikit-learn (Decision Tree Classifier)
- Fuzzy Logic: Custom rule-based reasoning
- Execution: CLI-based interaction
- Data Handling: NumPy arrays for move and state logic
Visualization of AI choosing optimal token movement based on fuzzy scores and decision path
This project demonstrates how AI can be combined with traditional board games to create intelligent, adaptive opponents. Built for fun, challenge, and machine learning experimentation.