Welcome to my Computer Vision Projects repository — a growing collection of practical and experimental projects exploring computer vision techniques, primarily focused on hand tracking, pose estimation, face mesh, object tracking, and more.
Currently, most projects leverage MediaPipe and OpenCV for real-time detection and tracking tasks. However, this is a personal playground where I continually experiment with different tools, libraries, and methods — including neural networks and other computer vision frameworks.
The goal is to build modular, reusable components that can evolve over time as I learn and integrate new technologies.
- AITrainer — Pose tracking and exercise repetition counting
- FaceMesh — Real-time facial landmark detection
- Finger Counter — Counting fingers using hand tracking
- Hand Tracking — Basic hand landmark detection
- Object Tracking — Tracking objects through webcam input
- Pose Estimation — Full-body pose detection and analysis
- Virtual Mouse — Controlling mouse pointer with hand gestures
- Virtual Painter — Drawing on screen with finger gestures
- Volume Hand Control — Controlling system volume through hand gestures
- Image Classification - Various methods used to classified images, neural network by extracting pixels, image features, convolution neural network, also used existing model CIFAR-10.
Each project lives in its own folder with a dedicated README describing usage.