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Second year team software project solution building a banking platform with machine learning integration

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StuBank Project

To Run the project, it can be built and ran using docker using the instructions below and the dockerfile. Alternatively, it can also be open in PyCharm or another python IDE, and built and ran, using the pipfile to set up the working environment.

Depending on the connection speed and system performance, this may take time in both docker, and loading the project

Docker Support

How to build

To build the image, type the following command into your terminal or command prompt:
docker build . -t name:tag
This command will build the dockerfile, and give the image a name and tag.

How to run

The command docker run --rm name:tag arg1 arg2 will run the image

Example

docker build . -t stubank:latest

docker run -d -p 5000:5000 stubank

This command will build and then run the image after downloading and installing all the required packages The project will be available at the local host port that was specified, so in this instance: 127.0.0.1:5000

Login Information

Admin Account

Email: [email protected]
Password: Password1
Security Question: What is your mother's maiden name?
Security Answer: mum

Normal User Account

Email: [email protected]
Password: Password2
Security Question: What was your first pet's name?
Security Answer: User

Two Factor Authentication has been disabled for both these accounts

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