PFT(PsiFinTrack)

Inspiration

Easy to use applications that do majority of the heavy lifting for the user

What it does

Collects financial data from a user and dynamically allocates funds for each proposed category through the use of an LLM

How we built it

We built it using the MERN Stack along with using the Google Gemini AI

Challenges we ran into

Time was a big factor. we we're not able to implement and debug some of the features in detail.

Accomplishments that we're proud of

Getting the Gemini API connected to the server and getting the back and front end to communicate with each other, being able to properly collaborate and effectively communicate ideas

What we learned

Allocate tasks earlier in project lifecycle, read documentation, use available skeleton code and how to interact with nosql databases

What's next for PFT(PsiFinTrack)

We plan to expand on this by finishing the other features, making the UI/UX cleaner, finishing the backend implementations, and adding extra functionalities such as an AI health score