Project Name : Student database - loan forgiveness

Table of Contents

• [General -information)
• [Technologies Used]
• [Project Status]
• [Screen shot]
• [Entity Relationship Diagram (ERD)].
• [Room for Improvement])
• [Acknowledgements]
• [Contact]

General Information

Due to recent announcement on Wednesday 24th August 2022 regarding student loan forginess by President Biden in America, I have gone for a student database targeted to government, recruitment consultants and employers who will be willing to employ and payback a percentage of students loan. This will encourage students to come forward by inputing their details. As a result, targeted end users (government, recruitment consultants and employers ) will get the best from a large pool of students( manpower) they would like to employ.

Technologies Used

• Git
• GitHub
• Python
• Pytest
• Flask
• Docker/Docker Compose
• Docker Swam
• Jira
• Jenkins

Project Status

Project is: _in progress

Entity Relationship Diagram (ERD)

screenshot


Video link

[a link] (https://github.com/user/repo/blob/branch/other_file.md) [a link] (https://github.com/user/repo/blob/branch/other_file.md)

Room for Improvement

Room for improvement:

• Improvement to be done on more testing
• Improvement to be done on lager database

To do:

• Extra features to be added on student expectation
• Extra features to be added employers limit to loan forgiveness

Acknowledgements

• This project was inspired by current situation on student loan in America. I also acknowledge my QA tutors and QA team members for helping with this project. Many thanks to them.

Contact

Created by Ennamani - feel free to contact me!

app = FLask(__main__)
db = SQLAlchemy(db)