Overview

Have you ever wondered how artificial intelligence can interact with traditional games like Backgammon? In this hands-on course, you'll learn how to build a real-time piece detection system for board games using computer vision and deep learning - specifically the powerful YOLO object detection model.Designed for AI enthusiasts, developers, and board game lovers, this course teaches you how to combine the classic charm of Backgammon with modern AI techniques. No complex hardware required - just your laptop, a webcam, and some open-source tools.What You Will Learn:Python Basics: Learn the essentials of Python, one of the most widely used languages in AI.OpenCV: Use the OpenCV library to process images and work with real-time video feeds.YOLOv8 Object Detection: Train a custom YOLO model to detect black and white Backgammon pieces and their positions on the board.Data Labeling and Training: Use tools like Roboflow to collect, label, and prepare your training dataset.Real-Time Detection: Connect your model to a live camera feed to track game movements and positions.Game State Analysis: Analyze and log board states automatically - ideal for refereeing, coaching, or game analytics.What You'll Build:A smart AI system that recognizes Backgammon pieces and their layout using just a webcam.A full-fledged visual tracking tool for game monitoring or educational purposes.A project-worthy addition to your AI portfolio or GitHub profile.Why Take This Course?Hands-On Learning: Build something practical and fun with real-world applications.No Fancy Hardware Needed: Run everything on a standard laptop with open-source libraries.Great for Beginners and Pros Alike: Whether you're new to AI or want to apply your knowledge creatively, this project is for you.Unique Portfolio Project: Combine AI and classic gaming in a way that showcases your skills and creativity.Whether you're a student, a game enthusiast, or someone working in computer vision, this course gives you the tools to turn a traditional board game into a smart, AI-powered experience.Important Note:Some of the core tools and workflows used in this course - such as Roboflow, labeling, and model training - may also appear in my other courses.However, each course is built around a completely different dataset, project goal, and real-world application.Even when similar tools are used, the challenges, outcomes, and final use cases are entirely unique in each course.This course is self-contained and designed to deliver a specific learning experience related to its own topic.

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