Movie Recommender System

This Streamlit-based Movie Recommender System allows you to select a movie you like and receive recommendations for similar movies.

Usage

1. Requirements:

   • Python 3.x
   • Required libraries: streamlit, pickle, pandas, requests, PIL (Pillow)

2. Installation:

   • Ensure you have the required libraries installed using pip:

     pip install streamlit pandas requests Pillow

3. Data:

   • This system relies on the TMDb 5000 Movies Dataset, which has been preprocessed.
   • Ensure you have the following files in your project directory:
     • movies_dict.pkl: Pickle file containing movie data.
     • similarity.pkl: Pickle file containing movie similarity data.

4. Running the Recommender:

   • Run the Streamlit app by executing the script.
   • Select a movie from the dropdown menu.
   • Click the "Recommend" button to receive movie recommendations based on your selection.

Screenshots

Homepage

Movie Selection Dropdown

Recommended Movies

Credits

This code is a simple implementation of a movie recommendation system using Streamlit and Python.