PulpoAR

Enables users to visualize how makeup products (foundation, lipstick, eyeshadow, etc.) will look on their face in real-time using augmented reality. The system maps facial features and applies product textures and colors with realistic rendering across different lighting conditions.

Analyzes user's skin characteristics and conditions (acne, dryness, sensitivity, tone, texture) using computer vision to provide personalized skin health assessment. Generates a detailed skin profile that informs product recommendations.

Matches users with suitable beauty products based on their skin analysis results, skin tone, and preferences. Filters product catalog to surface items most likely to work for their specific skin profile.

Embeds PulpoAR's virtual try-on and diagnostics capabilities directly into beauty retailer websites and product pages. Allows brands to add interactive AR experiences without building separate applications.

Allows users to virtually try on multiple makeup shades or products simultaneously to compare how they look together on their face. Enables side-by-side visual comparison of different options in real-time.

Automatically detects user's skin tone from camera or photo and matches it against a comprehensive shade database to recommend compatible product shades. Accounts for undertones and skin depth variations.

Tracks and reports on how virtual try-on usage correlates with reduced product returns for retailers. Provides metrics on customer confidence improvement and purchase satisfaction.

Adjusts virtual product appearance in real-time based on ambient lighting conditions detected by the device camera. Ensures makeup colors and finishes appear accurate under different lighting environments.