Book Recommender System using KNN Clustering

This project is a Collaborative Filtering Recommendation System using Streamlit, simplifying book selection by recommending similar books based on user input. It provides a list of the top 10 similar books for a specific search, enhancing the reading experience. Hope you enjoy it:)

Instructions how to go about it:

1. Run this code for installation of necessary libraries : !pip install streamlit pickle(if required)
   
   
2. Run the contents of jupyter file 'Book Recommender.ipynb' , to get pickle files in pickle_files folder i.e book_names.pkl , book_pivot.pkl , final_df.pkl and model.pkl
   
   
3. Open Anaconda Prompt, enter the current directory of the folder using 'cd' command : cd folder_path.
   For Example: cd C:\Users\Desktop\Github\Book-RS-KNN-Clustering
   
   
4. Run this code after step 3 , to launch your streamlit app : streamlit run app.py (make sure you have entered the current directory where app.py is present using 'cd' command)