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Computer Vision Tool·2021
Facedapter
Real-time facial landmark detection and adaptation.
A computer vision tool for detecting facial landmarks in real time and applying adaptive overlays for AR-style experiences. Built as a web app using TensorFlow.js and WebGL rendering, running fully in-browser with no server-side processing.
Fa
Tech Stack
TensorFlow.jsWebGLTypeScriptReactCanvas API
Key Highlights
Ran 68-point facial landmark detection at 30 FPS in-browser using TensorFlow.js and WebGL acceleration.
Zero server round-trips — all inference happens client-side, preserving user privacy.
Built a custom WebGL renderer for adaptive overlay compositing on live webcam feed.
Screenshots
Main dashboard
Screenshot coming soon
Detail view
Screenshot coming soon
Mobile responsive
Screenshot coming soon
Screenshots will be added soon. Drop images into /public/projects/facedapter/