MOVIE RECOMMENDER SYSTEM

This recommender uses CONTENT based filtering from the TMDb 5000 movie datset.

Dataset

TMDB 5000 Movie Dataset downloaded from Kaggle

Dependencies

• Python >=3
• pandas
• numpy
• jupyter notebook
• tmdbv3api
• Streamlit

Streamlit App

• Contains filtering by genres, top rated, most popular and recommends movies with plot and poster.
• app.py contains the code for this streamlit application.
• Used the TMDb API to extract information about the movie along with the movie poster.

Heroku deployment

• Deployed at https://movie-recc-st-app.herokuapp.com/ on Heroku.