Mogscope
Facial Analysis & Satirical Intelligence
Concept Definition
A satirical application parodying "looksmaxxing" internet culture. Mogscope computes completely realistic 68-point SSD-MobileNet facial landmark regressions, calculates authentic distances like the "Hunter Index" and exact canthal tilt angles, and funnels this via Edge Functions into a Groq AI model programmed to deliver absurdist diagnostics.
Core Modules
- PSL Analyzer: Calculates symmetry, Bizygomatic Frame Gauge, and Hunter Index strictly client-side.
- Face-to-Face Thunderdome: Dual analysis comparison highlighting "Frame Mogs" and PSL deltas with MK-style KO overlays.
- 3D Skull WebGL: Dynamic anatomical skull rendered interacting natively via Three.js.
- Web Audio Speech: Real-time text-to-speech voice generation handled directly in-browser via Howler API.
Biometric Execution Pipeline
Facial detection remains entirely secure — 100% of mathematical extraction occurs fully client-side via WebAssembly-compiled @vladmandic/face-api on React 18. Only the pure geometric numbers orchestrate Vercel Edge compute units running Groq's llama-3.3-70b-versatile for highly responsive, tone-strict satirical completions formatting.
graph LR
subgraph Client [Browser Environment 🖥️]
Webcam[HD Webcam Array] -->|Video Feed| FaceAPI(FaceAPI.js Model🧠)
FaceAPI -->|68-point Vector Maps| UI[React 18 Engine]
UI -->|Geometry Bindings| Three(Three.js Visuals 💀)
end
subgraph Cloud [Edge Serverless 🌧️]
UI -->|Anatomical Data| Vercel(Vercel Edge Functions)
Vercel -->|Llama 3 Prompting| Groq[(Groq High-Speed API)]
Groq -->|Satirical Script| Vercel
Vercel -->|JSON Insights| UI
end
UI -->|Text-to-Speech| Voice((Browser Web Audio API 🗣️))
Primary Tooling Matrix
Implementation Hurdles
- Performance Optims: Compiling heavy computer vision tensor models cleanly onto weak mobile devices utilizing WebGL backends.
- State Desynchronization: Ensuring live webcam coordinate streams match seamlessly up with complex Three.js geometry orientations.