💡 Inspiration
In today's world, most banks earn money from credit cards. If someone doesn't pay defaults so it might change it cost a lot for the Bank. At the same time, most cardholders, irrespective of their repayment ability, overused credit card for consumption and accumulated heavy credit and cash–card debts. The crisis caused a blow to consumer finance confidence and it is a big challenge for both banks and cardholders. So, we are trying to solve this problem by building a classification methodology to determine whether a person defaults on the credit card payment for the next month.
⚠️ Challenges we ran into
- It is our first time building a website with Flask.
- We First time working with Cohere and Tensorflow js, we face lots of issues but we are able to overcome all issues with time due to teamwork.
- It was tough to get values from JSON and display it on the website it flask but we finally achieved it the way we wanted
👩💼🧑💻 Accomplishments that we're proud of
- We are immensely proud of achieving a good team contribution with each of the members who have n contributed to the project in some way or another.
⚓ What we learned
- More about Flask and JSON data
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