Fitted

Wardrobe Section
Generated Fit
Description of Generated Fit
Saved Outfit Screen
Login Screen

Inspiration

As college students, we find it difficult to put together stylish outfits that match weather conditions that constantly change.

What it does

We created an app that catalogs your entire wardrobe and generates personalized outfits that match the weather while keeping you looking stylish.

How we built it

We designed a React frontend using Vite and Tailwind (hosted on Vercel), supported by a Node.js backend (hosted on Railway). Our stack uses Supabase for authentication and database management, the OpenWeather API for real-time data, and Modal to run inference through Gemini.

Challenges we ran into

Our biggest hurdles included integrating Gemini API calls through Modal, managing our API credits during heavy testing, and orchestrating the deployment between Vercel and Railway.

Accomplishments that we're proud of

We are proud of building a functional web application that generates truly wearable outfits. The system is dynamic; it learns from user preferences and feedback to improve future suggestions.

What we learned

We gained hands-on experience with full-stack architecture and the integration of containerized AI tools like Modal. We also improved our team workflow by effectively splitting development tasks and learning how to communicate technical ideas clearly.

What's next for Fitted

We plan to transition Fitted into a mobile application featuring a daily notification system that sends you a generated outfit every morning. We are also looking into monetization strategies to scale the app and support more users without hitting API budget constraints.