Inspiration
Students nowadays have a hard time finding books suggested for them, leading them to read less. They also don't know what's available to them just in the library.
What it does
Given a past of read books, the program scrapes the Gunn Library website for books similar to them and provides a list of suggested books from the Gunn library.
How we built it
Built with python to analyze the data and libraries like selenium to scrape the website and beautiful soup to organize the data. We also used flask to create a website interface where books can be inputted and suggested.
Challenges we ran into
The code is rather slow, since it needs to scrape a large amount of data to check all the books.
Accomplishments that we're proud of
We managed to fetch large amounts of data and process them for human use.
What we learned
We learned to web scrape, we learned how to read an html page source, and we learned how to use flask.
What's next for GSIM Books
Find a way to improve the speed of the project and expand the search to other nearby libraries.
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