One-page reference: the shared face-landmark map and how beauty, gaze, and AR effects each use it; MediaPipe Face Landmarker outputs (478 landmarks, 52 blendshapes, transformation matrix); where effects attach in a WebRTC call via Insertable Streams (MediaStreamTrackProcessor → worker → VideoTrackGenerator); the 33 ms frame budget at 30 fps and the GPU-vs-CPU choice; the EU AI Act line between altering a face and reading its emotion; and a build-vs-buy checklist (MediaPipe vs Banuba/Snap/DeepAR, Maxine vs Apple for gaze).
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