Made by Curtis, Henley, Jacob, Alvie, Aaron
An online platform that collects information about libraries across the UC Berkeley campus and recommends the user a selection of choices based on user preference input. Accessible information about libraries which the “filter by” feature will be based upon includes a live crowd meter, user reviews, open hours, and more.
For any given day, students generally struggle to choose a library to study in that is not crowded, open, or relatively close to where they are currently standing. The pursuit of our project idea will serve as a handy tool to help students find the most optimal library on campus based on their personal preferences, in addition to facilitating study group formations.
React.js, Axios, Chakra UI, MongoDB, Express.js, Node.js
This project requires an installation of npm and MongoDB.
- Start the backend
cd backend npm start - Start the frontend
cd frontend npm i npm start
- Algorithm thats generate an ordered list that tries to align with user inputed preferences
- Dynamic router for procedural website per library
- API to gather live/estimated busyness at a library
- Caching system to limit API calls
- Authentication and login system to save user preferences
- Review and rating system per library
- Libraries are not hard coded, easy to add additional places.
Thank you Jacob, Alvie, Aaron, and Curtis! It was a pleasure working with you all.