Collaboraters:
- Zach Corber
- Chandler Higgins
Tech Stack:
- Frontend:
- React
- Vite
- Tailwind
- Backend:
- Node.js
- Express.js
- AI:
- OpenAI + image --> text
- DB:
- TBD
Idea:
Think of a large collection from a lost and found. We want to make it easier to locate items by adding speed and efficiency. To do this, a catalogued database with lost item descriptions and embedded codes will be created. A user who has lost an item would log on to the system and enter an image of this lost item. AI will convert the image into an embedded code which will be compared to every item in the database. If there is a match, the lost numbered item will be returned with it's location.
Extra features:
- Different databases depending on different locations
- The inputted image will search through every database
- Great UI for user experience
- More TBD
Chandler is a fucking baller
Frontend IMPORTANT:
- cd frontend
- npm install
- npm run dev (to start the frontend on localhost)
Backend IMPORTANT:
- npm install express cors dotenv openai multer fs