Why you should try it
Ease of use
The solution is designed for simplicity – shoppers only need to upload a picture or snap a photo of any outfit to receive product recommendations. The interface is intuitive and mobile-friendly, making fashion discovery seamless and enjoyable even for non-technical users.
Real-time recommendations
The system can automatically detect multiple items in a single photo – like a sweater, jeans, and shoes – and instantly find similar alternatives for each. Users receive suggestions across identified categories, enabling them to recreate the full look.
Robust tech foundation
Powered by Google Gemini models and Astra DB, the architecture prioritizes scalability, speed, and precision. The process begins with Gemini Pro Vision interpreting the image and generating a description of the clothing items it detects. This description is then vectorized by the Google Vertex embedding model, transforming it into a high-dimensional representation. The data is then inserted into Astra DB, a serverless, distributed database optimized for real-time vector search, enabling fast and accurate product recommendations at scale.