The Dresscode Vision
We believe that styling should be smart, automated, and deeply personal—without compromising your digital footprint.
Why we built a Privacy-First assistant
Standard wardrobe cataloging apps ask you to upload images of yourself, your clothes, and your private spaces. These images remain stored on remote servers, raising security concerns.
Dresscode takes a different path. We utilize the advanced Gemma 4 model for detailed image description and intelligent outfit suggestions, alongside Flux-2 for precise garment extraction. Once the metadata is extracted, the original photo is deleted forever.
To visualize combinations, we employ Flux-2 for outfit preview generation, creating privacy-safe mockups that display your outfits without exposing your actual personal photographs.
- Photos are analyzed in transient memory.
- Original JPEG/PNG assets are purged instantly.
- Fit checks use generated mockup models.
The Tech Under the Hood
Gemma 4 AI
We utilize Google's state-of-the-art Gemma 4 model for automated image description and intelligent outfit suggestions based on your catalog and style tags.
Open-Meteo Forecasts
Outfit recommendations are tied to your planned events. Our weather tool polls the open-access Open-Meteo API to check the forecast on the event date, matching garments to actual temperatures.
Flux-2 Previews
We leverage Flux-2 for precise garment extraction and privacy-safe outfit preview generation, letting you visualize combinations without referencing physical user likeness.