Content Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

The details of the movies(title, genre, runtime, rating, poster, etc) are fetched using an API by TMDB, https://www.themoviedb.org/documentation/api, and using the IMDB id of the movie in the API.

We use web scraping to get the reviews given by the user in the IMDB site using beautifulsoup4 and performed sentiment analysis on those reviews.

To run a Flask deployment tests, run the following command

  python main.py

To run a Heroku deployment tests, click on the following link:

Netflix Recommender System App

Prepare your dataset:

    1. Data Extraction
    2. Exploratory Data Analysis(EDA)
    3. Feature Engineering
    4. Model Building and Tuning
    5. Building Flask API
    6. Pushing code to Github
    7. Connecting to your Heroku account 
    8. Deploy App

Click HERE To View App

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