Handtrack.js enables browser-based hand tracking by framing it as an object detection task. It loads a pre-trained convolutional neural network and performs inference directly in the browser via JavaScript, predicting bounding boxes for hands in video frames. The library supports multiple hand poses and provides an easy API for prototyping hand-tracking applications without server-side processing.