Movie-Recommendation-System

This is a project based on Collaborative Filtering Recommendation System (Item-based) using Streamlit. It simplifies movie selection by recommending similar movies when a specific film is searched, providing a more personalized and enjoyable movie-watching experience. It recommends a list of the top 5 movies that are similar to the one being searched for. 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. Execute the contents of jupyter file 'Item-based collaborative filtering.ipynb' to get pickle files i.e data.pkl and similarity.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\Item-based-Collaborative-Filtering-Movie-RS
   
   
4. Run this command after step3 , 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)