This project uses TensorFlow.js to perform real-time semantic segmentation on video streams, learning background patterns over time to identify and remove people from complex scenes. The ML model runs entirely in the web browser using JavaScript, enabling client-side inference without server-side processing. It demonstrates how modern browser-based ML can be applied to interactive computer vision tasks.