Preview
01. The Problem
Fashion-conscious consumers lack an objective, real-time styling advisor. Existing solutions offer generic fashion advice without analyzing fit precision, seasonal color alignment, or unique body silhouettes on custom user photos.
02. Our Approach
We engineered a cross-platform mobile app using React Native and Next.js, implementing high-speed computer vision workflows and custom LLM prompts. The application processes user outfit uploads, calculates immediate 'Drip Scores', conducts seasonal color analysis, matches silhouette ratios, and securely handles in-app purchases.
Tech Stack
Key Features
Instant Fit Check
Analyzes uploaded outfit photos and returns a Drip Score with practical quick fixes.
Seasonal Color Analysis
Identifies the user palette and recommends colors that enhance natural features.
Body Archetype Guidance
Maps proportions and gives personalized silhouette dos and donts.
Style Archive
Saves outfits over time so users can revisit looks and track style improvement.