Fashion AI Closet

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  Wear what feels right. We’ll handle what’s new.

The idea for Fashion Agent came from a simple everyday struggle: -"Most people stand in front of a full wardrobe thinking, “I have nothing to wear.”

We noticed three patterns: -People forget what they already own. -They find it hard to match outfits for different occasions. -Trends evolve faster than humans can keep up.

This inspired us to build an AI-driven assistant that understands a user’s wardrobe, learns their preferences, and recommends outfits intelligently like a digital stylist.

Working on this project taught us real-world lessons in:

• Vision Models:-

We learned to classify clothes using image analysis and extract:

• Color palette
• Style category
• Patterns

• Fit & silhouette

• Building a Self‑Updating System:-

We explored how to make the model evolve:

• Adapt with user actions
• Refresh trends weekly
• Recalculate embeddings
• Improve recommendation accuracy over time

Built With

• css
• gemini
• mongodb
• python
• react
• tailwind