Project

Hand Gesture Tracker

Overview

I built this application in Python and it's source code is on GitHub. The Hand Tracker project is a Python-based solution that utilizes TensorFlow, OpenCV, Mediapipe, Matplotlib, and Scikit-Learn to recognize and interpret hand gestures in real-time. By leveraging deep learning with TensorFlow, the system accurately detects and classifies hand movements. OpenCV and Mediapipe provide the necessary tools for hand tracking and pose estimation. The project incorporates a graphical interface in Jupyter Notebook, enabling interactive visualization of the recognized gestures using Matplotlib. Hand Tracker serves as an invaluable tool for learning and communicating in American Sign Language, while also contributing to the fields of computer vision, gesture recognition, and human-computer interaction.