🏆 Quidditch Game - Advanced Gameplay AI Practice

Authors: Yulin Zhang, Vishnu Rajendran

🧹 Introduction

Welcome to our Quidditch Game, an Advanced Gameplay AI Practice project. Inspired by the legendary sport, our game combines AI techniques with physics-based character control to deliver a dynamic and immersive experience.

🚀 Key Features

🎭 Behavior Tree AI

• Implements a hierarchical Behavior Tree for intelligent decision-making.
• Enhances NPC responsiveness and adaptability to in-game situations.

🧠 Fuzzy Logic System

• Utilizes Fuzzy Logic to create nuanced AI behaviors.
• Enables AI to make fluid, non-binary decisions for more natural gameplay.

🎮 Physics-Based 3C (Character, Camera, Controls)

• Fully physics-driven movement system for realistic flying mechanics.
• Smooth and intuitive camera control for an immersive experience.
• Adaptive control system that adjusts based on gameplay context.

🎥 Gameplay Demo

PLAY ONLINE!

🛠️ Technologies Used

• Game Engine: Unity Engine
• AI Systems: Behavior Trees, Fuzzy Logic
• Physics Simulation: Rigidbody-based flight mechanics
• Programming Languages: C#

📜 License

This project is open-source and available under the MIT License.