Our inspiration for Credit Search would be having one platform that helps you decide on which credit cards would best fit your requirements for your needs.

What it does

It will help the user to decide the best credit card with their spending habits and preferences.

How we built it

We planned out Credit Search by creating a rough sketch of the project and the functionality of it. During the planning, we include what software and technology such as HTML, CSS, and JavaScript for the front-end, python and flask for the back-end and MySQL for the database.

Challenges we ran into

The challenges that we ran into would be creating a data set using MySQL. we were creating a database that is to retain the information of the cards and the owner information. After figuring out another solution, we ran into the issue with AWS because it is a technology we are not familiar with. We end up not using because we did not have enough time to figure out the issues with it.

Accomplishments that we're proud of

We are proud of creating the pages for our website while using a new software called Flask.

What we learned

We learned the application of flask while doing this project and the use of creating a table in MySQL.

What's next for Credit Search

The next thing for Credit Search would be adding the data using AWS and creating a functionality that allows you to pay off all your credit card payment in one go instead of going through the company one by one.

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