score-predictor

The container application image has the following requirements;

1. A Dockerfile.
2. A working directory called /opt/flask_insurance
3. Python version 3.8
4. Python Libraries – pandas, Flask and scikit-learn (please use a requirements.txt file)
5. Index.html form which should be rendered using the render_template function.
6. Result.html which will display the predicted charges, and which should be rendered using the render_template function also.
7. Model.py which will train the linear regression model.
8. Insurance.csv which is the dataset that is required to train the linear regression model.
9. Flaskapp.py which will deploy the model through a Web application and accept input from the user, pass it to the model and return the results.