Movie-Recommendation-System

This is a project based on Collaborative Filtering Recommendation System (User-Based) using Streamlit. It simplifies movie selection by recommending similar movies when a specific user id is searched, providing a more personalized and enjoyable movie-watching experience. It recommends a list of the top 5 movies. 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 'User-Based Collaborative Filtering.ipynb' to get pickle files i.e cosine_sim.pkl , merge_df.pkl and user_movie_matrix.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\User-based-Collaborative-Filtering-Movie-RS
   
   
4. Run this code 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)