harshbg/Sign-Language-Interpreter-using-Deep-Learning ? reverse-engineered prompt

Build me a sign language interpreter that uses a webcam feed and can recognize hand gestures in real time, then show the predicted letter or symbol on the screen as the person signs. I want it to feel like a simple personal translator for American Sign Language, with a training flow for collecting gestures, preparing the images, training a model, and then running live prediction from the camera.

Please use Python and the usual computer vision and deep learning tools for this kind of project, and make it work end to end from captured hand images to a working demo window. If it helps, use current docs online for anything outdated. I’d like clear setup steps, a way to capture or reuse gesture images, train the model, and then open the live interpreter with the webcam. Keep it practical and easy to run on a normal laptop.