Stylingu

Stylingu (tu estilo, a tu manera) is an AI-powered personal style, colorimetry, wardrobe, and makeup assistant web application. Designed to transform personal presentation through computer vision and advanced language intelligence, the platform analyzes user photographs (face and body) to deliver customized recommendations, seasonal color palettes, weekly wardrobe planning, and makeup tutorials.Core Architecture & Meta IntegrationThe platform relies on a robust API-first architecture where Meta’s foundational models serve as the central intelligence engine:Foundation Models (Meta Core): Muse Spark 1.3 and Muse Wonder drive the application’s core reasoning, cognitive synthesis, and multi-modal image analysis. Without Meta's models, the application's intelligence layer would lack depth and personalization.API-First Infrastructure: 100% of internal application requests are managed via scalable API endpoints, ensuring low latency, elastic response handling, and production-grade stability.Multi-Model Orchestration: The core Meta ecosystem is complemented by specialized models (GPT-6 Astra and Mimo 2.6 Pro) tasked with specific edge operations and auxiliary micro-tasks.Key Feature ModulesModuleDescription01 / ColorimetríaComputes personal seasonal color palettes, skin undertones, contrast, and tone affinity based on facial image analysis.02 / Armario y VestuarioManages a personal clothing inventory to generate automated weekly outfit plans and silhouettes based on body reference photos.03 / MaquillajeTranslates facial features into structured makeup guides, shade recommendations (lips, eyes, blush), and step-by-step tutorials.04 / ComprasScans products and compares their compatibility and shade alignment against the user's custom color palette before purchasing.