Chess Playing Robot
Autonomous chess-playing system with computer vision and robotic control
Project Overview
I engineered a real-time chess move detection and playing robot using computer vision, machine learning, and robotics. The system tracks and validates chess moves from webcam input, controls a robotic arm to play moves, and features adaptive piece detection using SVM with dynamic board calibration.
Key Achievement: 99%+ accuracy in varying lighting conditions
Computer Vision
Machine Learning
Robotics
Python
OpenCV
SVM
Explore the Project
View Code on GitHubResearch Paper
Student Final Report: My comprehensive 25-page research paper covering advanced topics in computer science and robotics. This detailed report demonstrates my ability to conduct in-depth research, analyze complex data, and present findings in a clear, professional format.
View/Download Research Paper (PDF)