Inspiration
inspired by gemini ai
What it does
allows users to find clothing products tailored to their needs, personal preferences, and budget across the web
How we built it
spent a good deal of time planning and discussing possible ideas, using tools such as excalidraw and resaerches existing projects for inspiration. built clean ui with shadcn and react, ai backend with gemini api and web scraper to help us put together strong results and ai responses, clerk auth for 3-5 click authentication, and vercel for quick and easy deployment
Challenges we ran into
we had trouble working with the api due to deprecated apis and old functionalities that were no longer available as well as testing in light of very strict rate limiting
Accomplishments that we're proud of
we're proud of being able to put together a working mvp in due time and being able to implement an ai tool for the first time as well as a web scraping api
What we learned
we learned a lot of time management skills, as well as how to use several open source tools together to create a final product. we also learned a lot about api key security and dynamic rendering.
What's next for Qupa - AI Fashion
implement supabase database to store customer queries and wishlist items + more advanced search features
Built With
- app-router
- clerk
- gemini-api
- javascript
- next.js
- react
- serpapi
- shadcn
- tailwindcss
- typescript
- vercel

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