Inspiration

To see the power of machine learning for a real world application

What it does

Recommend books based on a selected book

How we built it

Backend: Java, SpringBoot Framework, Python, JDBC & PostgreSQL Data Gathering and Cleaning: Python Frontend: HTML5, CSS, Bootstrap, JavaScript, Ajax

We have successfully implemented a book recommendation system based on co-purchaseing pattern analysis using data mining algorithm like FP growth.

Challenges we ran into

Large amount of data Limited resources for training

Accomplishments that we're proud of

Complete recommendation system in 24 hours

Built With

Share this project:

Updates