BeautyScore

BeautyScore is a sophisticated Chrome extension designed for facial beauty analysis, utilizing advanced computational techniques to evaluate facial aesthetics based on established principles of beauty and symmetry. Developed by ALAgrApHY, this extension provides users with quantitative and qualitative assessments of facial features through multiple analytical overlays and metrics. Core Functionality: The extension operates by analyzing portrait images either uploaded by the user, pasted via URL, or extracted from the current webpage. Once an image is loaded, BeautyScore applies several established beauty analysis frameworks: 1. Symmetry Analysis: Evaluates bilateral symmetry of facial features, a key component in traditional beauty standards 2. Marquardt Mask Analysis: Applies Dr. Stephen Marquardt's beauty mask based on pentagonal geometry and the golden ratio 3. Golden Ratio (φ) Analysis: Assesses facial proportions according to the mathematical golden ratio (approximately 1.618) 4. Facial Thirds Analysis: Evaluates the division of the face into horizontal thirds (hairline to eyebrows, eyebrows to nose base, nose base to chin) 5. Skin Uniformity Analysis: Examines texture and color consistency across facial regions 6. Edge Clarity Analysis: Assesses definition and sharpness of facial feature boundaries Technical Implementation: The extension consists of several key components working in concert: - Manifest v3 Configuration: Defines extension permissions, browser actions, and content security policies - Background Service Worker: Manages extension lifecycle and cross-tab communication - Content Script: Injects into webpages to extract image data when requested - Popup Interface: HTML/CSS/JavaScript-based user interface for image loading, analysis controls, and results display - Image Processing Pipeline: Handles image loading, canvas manipulation, and algorithmic analysis User Experience: Upon activation via the browser action button, users are presented with a clean, professional interface featuring: - Image Input Section: Options to paste image URLs, upload files, drag-and-drop, or grab images from the current webpage - Image Preview Canvas: Main display area where loaded images appear with analysis overlays - Control Panel: Toggle switches for different analysis overlays (symmetry, Marquardt mask, golden ratio, facial thirds, heatmap) - Analysis Dashboard: Real-time display of quantitative scores across multiple beauty metrics - Status Indicators: Visual feedback on processing state and analysis readiness - Results Summary: Overall beauty score and letter grade based on composite metric analysis Analysis Algorithms: Each beauty metric is computed using specialized algorithms: Symmetry Analysis: - Detects facial landmarks through computational geometry - Compares left and right facial halves using correlation and difference metrics - Produces a symmetry score from 0-100% based on mirror-image consistency Marquardt Mask Analysis: - Scales and positions the Marquardt beauty mask over detected facial features - Calculates pixel-by-pixel deviation between facial contours and mask geometry - Generates conformity score based on alignment with idealized pentagonal proportions Golden Ratio Analysis: - Identifies key facial landmarks (eyes, nose, mouth, chin, hairline) - Measures ratios between various facial distances - Compares measured ratios to the golden ratio (1.618:1) ideal - Aggregates multiple ratio comparisons into a unified φ-adherence score Facial Thirds Analysis: - Vertically divides the face into three equal regions - Evaluates proportional balance between forehead, mid-face, and lower face - Assesses alignment of facial features with ideal thirds boundaries - Scores based on deviation from optimal proportional division Additional Metrics: - Skin Uniformity: Analyzes color and texture variance across facial regions using statistical measures - Edge Clarity: Applies gradient analysis to assess definition of facial boundaries and contours Privacy and Security: BeautyScore prioritizes user privacy through: - Local-only processing: All image analysis occurs client-side; no data is transmitted to external servers - Minimal permissions: Requests only essential permissions (activeTab, scripting, tabs) required for core functionality - No data retention: Images are processed in memory and not stored persistently - Transparent operation: Clear user controls and visible indication of when analysis is active