AI Fashion Advisor - Smart Outfit Recommendations | Panor

The AI Fashion Advisor analyzes your wardrobe, personal style preferences, body proportions, skin tone, and lifestyle context to generate personalized outfit recommendations. Whether you are dressing for a business presentation, a casual weekend, or a formal event, the AI creates cohesive looks from your existing clothing.

How AI Fashion Analysis Works

The system uses computer vision to analyze uploaded wardrobe photos, identifying garment types, colors, patterns, fabric textures, and style categories. A recommendation engine then applies style rules — color theory, proportion principles, occasion appropriateness — alongside your stated preferences to suggest complete outfits. The AI learns your feedback over time, improving recommendations with each session.

Key Features

Wardrobe inventory: Upload photos of your clothes for a digital wardrobe database
Outfit generation: Complete looks assembled from your existing pieces
Occasion matching: Recommendations filtered by event type, weather, and dress code
Style analysis: Understanding your dominant aesthetic (minimalist, classic, eclectic, etc.)
Gap identification: Identifying versatile pieces that would expand your outfit combinations

Style Principles the AI Applies

Good outfit construction involves several principles: color harmony (complementary, analogous, or neutral palettes), proportion balance (mixing fitted and relaxed silhouettes), pattern mixing rules (varying scale and type), and occasion-appropriate formality levels. The AI encodes these principles to ensure recommendations are both stylish and practically appropriate.

Building a Capsule Wardrobe

A capsule wardrobe — a small collection of essential, versatile pieces that work together — maximizes outfit combinations while minimizing wardrobe size. The AI Fashion Advisor can analyze your current wardrobe to identify how close you are to a capsule structure and which additions would create the most outfit combinations.

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