Aluré | Devpost

Wireframe
Final App Design

Inspiration

We wanted to solve a real, everyday problem for college students: “I have a class soon, but I don’t know what to wear.”

What it does

Aluré generates outfit suggestions tailored to the user’s wardrobe, style preferences, weather, and local campus events. Users can:

See 3 outfit options at a time and give thumbs up/down feedback Save favorite outfits in a personal wardrobe Get event-specific outfit recommendations (parties, games, concerts) Rely on a system that adapts to their style over time, without pushing new clothing purchases

How we built it

Frontend: React + Expo Go for mobile-friendly interface Backend: Node.js with Firebase for authentication and database AI/Logic: Model generates outfits based on wardrobe, user feedback, and context (weather + events) Additional features: Calendar for planning outfits, badges for clothing tags, event integration

Challenges we ran into

Designing an AI system that balances user wardrobe, weather, and events Creating a UI that is intuitive for students while showing multiple layers of information Managing image uploads and outfit generation without slowing down the app

Accomplishments that we're proud of

Built a working MVP that generates personalized, weather-aware outfits Created a clear college-focused event integration, which differentiates us from other apps Designed a UI that is clean, functional, and student-friendly

What we learned

Developing an app that leverages what the user already owns requires careful database and UX design Balancing AI logic and user experience is critical — suggestions need to feel helpful, not overwhelming

What's next for Aluré

Smarter AI personalization (deeper learning from user behavior) “Build an outfit around one item” feature Outfit calendar + planning system Trend & celebrity inspiration page Accessory customization layer