Computer Vision & AI Web AppsCLIENT // Enterprise Client
Face Shape Detector AI (faceshapedetector.ai)
Engineered a high-performance computer vision web tool using cutting-edge facial landmark detection pipelines: • Landmark Extraction: Utili
System Architecture & Engineering Overview
Engineered a high-performance computer vision web tool using cutting-edge facial landmark detection pipelines:
• Landmark Extraction: Utilized MediaPipe 468-point 3D facial landmark mesh for sub-second contour detection in the client browser.
• Morphological Classification: Developed mathematical algorithms calculating jawline-to-cheekbone ratios, face length-to-width proportions, and classifying into Oval, Round, Square, Heart, and Diamond.
• Client Recommendations: Interactive UI providing personalized hairstyle, eyeglasses, and beard styling recommendations based on classified geometry.
• Zero Server Latency: Executed image preprocessing and mesh generation client-side using WebAssembly and Web Workers for instantaneous results without expensive GPU server infrastructure.
CORE TECHNICAL DELIVERABLES:
Engineered responsive UI using Next.js 15, React 19 & modern Tailwind design tokens
Constructed high-speed REST API endpoints with automated rate limiting & Sanctum auth
Automated database migrations, relational models and index query optimization in MySQL
Configured 100% self-hosted Admin Panel for real-time content management and drag-and-drop ordering
TECH SPECIFICATION
Next.js 16React 19PythonOpenCVMediaPipeTailwind CSSWeb Workers
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