Inspiration

We were all inspired by our own personal struggle in navigating financial aid and student loans. We wanted an application that could help streamline and create a stress-free process for students to understand their own financial situations.

What it does

The project takes in all the necessary information from the user or student via pdf upload and manual input. From there, the app makes a loan repayment plan that summarizes the key information the student needs, such as how much to pay each month to pay their debt off in time.

How we built it

We created separate repositories for our frontend and backend. The frontend was the UI and the entirety of the website/app that the user was able to view and input data into. The backend did all processing of reading in the uploaded pdfs from the user. The read in pdf is then fed into an AI API that then extracts key information. The information was then supposed to be fed back to the front end to make the loan repayment plan that could be viewed by the user.

Challenges we ran into

We struggled to properly implement our AI at first, but we managed to succeed. However, we failed to merge the fully functional backend and frontend into one repository. We struggled with fetching data from the backend and feeding it to the frontend.

Accomplishments that we're proud of

We fully implemented our frontend and backend and we were able to successfully use Gemini API to extract information from pdfs.

What we learned

We learned how to incorporate APIs and work with generative AI in combination with frontend and backend. This hackathon allowed us to get hands-on experience in coding in a fast-paced environment.

What's next for Zero Bound

We will bridge the gap between frontend and backend and successfully exchange information between the two.

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