I need a software that captures hand signs through a mac integrated webcam, identifies each alphabet in real time, and streams the detected characters on screen so they build words one letter at a time (e.g., showing “H I T H E R E” as the user signs to make it display as HI THERE with each alphabet while detecting should also be heard as audio). Core expectations • Webcam video feed is analysed frame-by-frame. • Every recognised alphabet appears instantly on screen, forming complete words without manual intervention one by one with a time interval to make next sign. • An optional audio cue should pronounce each detected letter so users hear what they just signed. A basic text-to-speech library is fine. Technical preferences I am comfortable with either C++ or Python—choose whichever delivers faster, more reliable results. The underlying tech stack is flexible: OpenCV for image capture, plus TensorFlow or PyTorch if a lightweight model is needed. Feel free to reuse publicly available datasets or pretrained models as long as results remain accurate and latency stays low on a mid-range laptop. Deliverable A runnable script or small application with clear instructions, commented code, and a short read-me explaining how to run the software on macbook. I’m aiming for a functional software with good accuracy and efficiency keep the scope tight and focused on core sign-to-text (and optional voice) functionality.