Browser-based virtual try-on system using Pose Estimation (ml5.js / BlazePose) and Body Segmentation (TensorFlow BodyPix) for real-time accessory and clothing overlay.
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Updated
Apr 20, 2026 - JavaScript
Browser-based virtual try-on system using Pose Estimation (ml5.js / BlazePose) and Body Segmentation (TensorFlow BodyPix) for real-time accessory and clothing overlay.
This project is a real-time face landmark detection web application built using React and TensorFlow.js. It uses the FaceMesh model to detect 468 facial landmarks from a live webcam feed and renders a triangulated mesh overlay on the face using the HTML Canvas API. The goal of this project is to demonstrate how machine learning models
A Computer Vision web app that sees you, hears you.
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