This repository contains a Python-based hand tracking module designed to detect and track hand landmarks using computer vision techniques.
It is built on popular libraries such as OpenCV and MediaPipe, making it efficient and easy to use for various applications like gesture recognition ,
virtual reality controls, or sign language interpretation.
*Real-time hand tracking: Tracks multiple hand landmarks with high accuracy.
*Ease of integration: Can be easily integrated into larger projects.
*Customizable: Adjustable parameters for confidence thresholds and detection accuracy.