Aurendi: Fashion Discovery App with AI Chat

Fashion browsing has a paradox: the more content there is, the harder it becomes to find something you actually want to wear. Aurendi was designed against that. A swipe-based outfit discovery app that stays fast and visual while landing on something genuinely personal.

The core mechanic is familiar by design. Swiping removes the friction of catalogue browsing, so people move through curated looks without navigating menus or setting filters. What makes it more than a gesture is the flexibility underneath: individual items inside any outfit, top, bottom, shoes, can be swapped independently. Discovery becomes a tool for building rather than only for saving.

The AI layer. An AI-powered chat generates personalised suggestions from user preferences, adding a guided mode alongside open browsing. The two work together rather than competing: explore freely, or ask for direction when you want it. Getting that relationship right is the design problem in any product that bolts a model onto an existing interaction.

Visual direction. Editorial and deliberate. A black and white foundation gives the interface a fashion-forward backbone. Collage-inspired visuals add texture and personality without cluttering the experience. Clean sans-serif typography keeps navigation light throughout.

Shipped as an MVP: focused, minimal, built to validate demand without sacrificing the quality of the experience. The architecture supports deeper personalisation, social layers, and commerce integration when the product is ready to grow.

Timeline: 5 weeks. Year: 2025. I led product design and the AI interaction model.