A real-time sign language and gesture translation desktop application. Powered by OpenCV, MediaPipe, and a Random Forest Classifier to track hands and translate American Sign Language (ASL) alphabets, numbers (0-9), and common word gestures into spoken text on the screen.

A real-time Sign Language Translator that utilizes Computer Vision to bridge the communication gap between signers and non-signers. It leverages a Convolutional Neural Network (CNN) and MediaPipe for hand landmark detection to accurately classify and translate American Sign Language (ASL) gestures into text.