Hand Sign Detection

• Tech Stack: Python, scikit-learn, numpy, pandas, open-cv, keras, tensorflow, MediaPipe
• Github URL: Project Link

This project focuses on real-time hand sign detection and recognition using computer vision techniques. The system accurately identifies left or right hand signs and dynamically updates the displayed signs.

Features

• Real-Time Detection: Utilizes computer vision with MediaPipe for precise hand tracking and dynamic sign recognition.
• Python Libraries:Implements OpenCV for image processing, MediaPipe for hand tracking, and a Convolutional Neural Network (CNN) for sign recognition.
• Dynamic Visualization:Provides live updates of detected hand signs with a user-friendly interface.