Movie-Recommender-System

This is a hollywood movie recommender system built with Python. I used IMDB 5000 Movie Dataset to built this. Link to dataset :- https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset

Link to the web application :- https://recommendor-system.herokuapp.com/

I also wrote a blog about this project which help you understand the overall process :- https://www.academyofdatascience.com/Blog_page/blog_3.html

I used Flask web framework in built in Python to put in on web.

Files Brief

*In the preprocessing.ipynb file the Data Preprocessing part has been done.

*In the create.py file I created two files for future uses one data.csv and other a numpy matrix.

*The application is run from the main.py file.

End to End MAchine Learning Project

1. Docker Build checked
2. Github Workflow
3. Iam User In AWS

Docker Setup In EC2 commands to be Executed

#optinal

sudo apt-get update -y

sudo apt-get upgrade

#required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker

Configure EC2 as self-hosted runner:

Setup github secrets:

AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION = us-east-1

AWS_ECR_LOGIN_URI = demo>> 566373416292.dkr.ecr.ap-south-1.amazonaws.com

ECR_REPOSITORY_NAME = simple-app