Project: Book Recommender System Using Machine Learning!

What Is Recommendation System?

A recommendation system is a subclass of Information filtering Systems that seeks to predict the rating or the preference a user might give to an item. In simple words, it is an algorithm that suggests relevant items to users. Eg: In the case of Netflix which movie to watch, In the case of e-commerce which product to buy, or In the case of kindle which book to read, etc.

About this project:

This is a streamlit web application that can recommend various kinds of similar movies based on an user interest. here is a demo, Run it on live server

How to run?

Steps:

#Clone the repository

https://github.com/Kuramdasu-ujwala-devi/book_recommender_system.git

Step 01- Create a conda environment after opening the repository

conda create -n movie_rec_sys python=3.8 -y

conda activate movie_rec_sys

Step 02- install the requirements

pip install -r requirements.txt

Step 03- run this file to generate the models

book_recommendar.ipynb

Step 04- Now run,

streamlit run app.py

After, Deployed in Heroku