Mina started with a pretty simple idea: getting dressed shouldn’t always start with buying something new. I wanted to explore what an AI stylist could look like if it actually understood your wardrobe, your taste, and what you have going on that day.

The concept combines your closet with context like weather, occasion, mood, and personal style to suggest complete looks from pieces you already own. I also explored a Style Memory layer, where saving, wearing, skipping, or adjusting recommendations gradually teaches Mina things that are harder to capture in a profile, like the silhouettes you reach for, how polished you like to feel, or which combinations never quite feel like you.

The part I was most interested in was making the AI feel less like a chatbot giving fashion advice and more like a product that develops a point of view with you over time. The goal wasn’t to automate personal style, but to make your own closet easier to rediscover and experiment with.

Exploring:

AI Product Concept · Personalization · Fashion Tech · Recommendation Systems · UI/UX · Context-Aware Design