Credit Card Recommendation Application With Generative AI

To help user choose the best credit card for their needs, based on their spending habits and transaction history.

Comment

Inspiration

I'm an active credit card user. And lately I have started to travel by train a lot, so I decided to get a credit card which can offer me reward points for booking train tickets, so I went on credit card research phase, but the problem is I can't really decide which one to choose. So I deiced to create an app that can help me analyse and provide better recommendation based on my preference on credit card

What it does

It takes users SMS related to transaction history, and create a Q&A for that and generate a personalised portfolio, once user provide a credit card web page URL it will analyse the contents of the web page against user data and try to recommend the user the benefits, potential drawbacks and a compatibility score,

How we built it

I'm from an Android development background so I have created an Android App, to have ease of access and get recommendations.

Challenges we ran into

Bit of a learning curve for using Gemini ai with Android SDK, sometimes get unexpected errors

Accomplishments that we're proud of

To have build a functional App without a back end server by leveraging Gemini API

What we learned

Since our app doesn't have a back end server, and generative AI can act as a back end server for our app, it creates a lots of new possibility and building apps much faster.

What's next for Credit Card Recommendation Application With Generative AI

To enhance the apps features like financial management and giving option to compare credit cards and help user better understand everything about a credit card

Built With

  • android-studio
  • gemini-android-sdk
  • gemini-api
  • jetpack-compose
  • kotlin
  • room-db
Share this project:

Updates