Boston-House-MEDV-prediction

Software and the tools Requirements

1. Github Account
2. VS code IDE
3. Heroku Account
4. GitCLI

Create a new environment

py -3.7 -m venv venv

Activate the venv environment that was created

venv\Scripts\activate

Successful Docker Deployment to Heroku

Proper Docker Tagging

Tagged Docker image correctly to match the Heroku container registry format:

docker tag <image_name> registry.heroku.com/<app_name>/web

Correct Heroku Commands for Container Deployment

Instead of pushing with docker push, we used Heroku’s container CLI commands to ensure proper build and release:

heroku container:push web --app <app_name>
heroku container:release web --app <app_name>

Fixed CMD in Dockerfile

Avoided using exec form with $PORT which doesn't expand environment variables.

• Correct shell form used in Dockerfile:

CMD gunicorn --workers=4 --bind 0.0.0.0:$PORT app:app

Used Logs to Debug

Monitored Heroku logs to identify runtime errors and crashes:

heroku logs --tail --app <app_name>

This helped to catch the $PORT substitution issue and fix it.

Valid Project Structure

• Flask app was properly configured in app.py.
• Dependencies listed correctly in requirements.txt.
• Dockerfile used a compatible base image (python:3.7) with no build errors.