HandTracker Added

[Shreyasb1015]

This project is a robust and efficient hand tracking system implemented in Python, utilizing the power of OpenCV and the MediaPipe library. It provides real-time hand tracking capabilities that can be seamlessly integrated into various applications, including gesture recognition, virtual reality, and human-computer interaction.

Key Features:

1. Real-Time Hand Tracking: The project leverages OpenCV and MediaPipe to provide real-time hand tracking, accurately detecting hand movements and positions.

2.Multi-hand Tracking:It can efficiently track multiple hands in a single frame, making it suitable for a wide range of applications that involve multiple users or complex interactions.

3.Hand Landmark Detection:The system precisely identifies 21 hand landmarks, allowing for detailed analysis and manipulation of hand gestures and poses. This pull request aims to merge the latest improvements and enhancements into the hand tracking project. It includes bug fixes, performance optimizations, and documentation updates. The project maintains high code quality and adheres to best practices, ensuring it remains a valuable resource for developers seeking to incorporate hand tracking into their projects.

Overall, this hand tracking project offers an accessible and versatile solution for real-time hand tracking, promoting innovation and interaction in various domains.

[ayush-raj13]

Great project!

[Shreyasb1015]

Thanks!