22AM0XG-Assignments - Leveraging Docker for Machine Learning Deployment

Day 1 Assignments

• Execute 25 Docker CLI commands, capture the output screenshots, and document each command's usage on a GitHub Wiki page.
• Install VSCode and Python. Check the version of Python. Document these steps in GitHub Wiki.
• [Python] Create a sample flask app and edit the same to showcase your college information(Name, Register_number,etc)
• [Docker] Create the docker image for the above-mentioned flask app and run the same view of the page in a browser
• [Docker] Create a docker compose file for the 2 images: nginx/httpd and run the same view of the page in a browser
• [Docker] Pull one of the participant’s docker images and verify whether the app is running or not
• Create a GitHub account with a personal mail ID and create the repo with your register_number_22AM0XG
• Create a LinkedIn account with personal mail ID

Day 2 Assignments

• Create a simple machine-learning application & verify the prediction based on the given score
• Create a simple machine-learning application & verify the accuracy
• [Docker Compose] Create a docker-compose file for the 2 images: your flask app and the machine learning app and run the same view the page in browser
• Commit all the code to GitHub Repo
• Document all the learnings with screenshots in the GitHub Wiki
• Create a post on Linkedin