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.
*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.
- Docker Build checked
- Github Workflow
- Iam User In AWS
#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
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