Movie Recommendation System

ML part Library used :- Numpy , Pandas ,Scipy ,Surprise

Web Part

1- flask

pip3 install flask

2- flask_sqlalchemy

pip3 install sqlalchemy

3-werkzeug

pip3 install werkzeug

4-TMDV3api

pip3 install tmpdv3api

Run the web app

cd Source_code
python3 main.py

Sample Source Code

This is the code for the same but from scratch i.e. all the code has been written using for loops and implementing the maths with the numpy module.  
To test the code here, run the test.py. moreover you can change the userId or just pass the movieId and the model.