raghubhetwal / movie_recommender_system

Movie recommender system (Content_Based)based on user input. Library: NLTK, Cosine Similarity..etc

Movie_Recommender_System

This is a movie recommender system (Content Based)built using Python and Streamlit. The system uses a list of movies and their attributes to recommend similar movies based on user input.

Preview:

Requirements

• To run the system, you will need the following:
  • Python 3
  • The following Python packages:
  • requests
  • streamlit
  • pandas

Dataset

The data used in this project is obtained from The Movie Database (TMDb). It consists of a list of movies and their respective features, such as genres, cast, directors, and more.

Run

To run the application, simply clone the repository and run below code in your command line.

run streamlit run app.py