I have a working concept for a touch-free digital whiteboard that converts any standard webcam into an interactive teaching surface. Using OpenCV and MediaPipe as the core libraries, I need a clean, production-ready application that lets me: • draw or erase with fluid, low-latency strokes • zoom and pan the canvas smoothly • switch colours and brush styles on the fly The interface should rely entirely on natural hand movements and accurate finger tracking—no physical markers, gloves, or special hardware. I do not need predefined “thumbs-up”-style gestures right now, just robust detection of hand position and individual fingers. Cross-platform support is essential. The exact same codebase (Python is preferred, but I’m open to C++ if there’s a clear performance win) must run on Windows, macOS, and Linux without feature gaps. A lightweight installer or clear build script for each OS will be part of the hand-off. Deliverables 1. Source code with clear, in-line comments and a concise README. 2. Executables or build instructions for the three target platforms. 3. Short demo video showing the drawing, erasing, zoom/pan, and colour switching features in real time. 4. Brief technical report summarising gesture recognition accuracy, average frame latency, and any known limitations. Please keep the UI minimal—just the canvas, a small palette, and optional on-screen hints. Performance under a 720p webcam feed at 30 fps is the acceptance benchmark.