Prospera

Inspiration

We were inspired by the importance of financial well-being and the growing need for personalized financial tools that help individuals make informed decisions about their money. With the rise of AI technologies, we saw an opportunity to provide users with a smart budgeting tool that can offer insights tailored to their spending habits.

What it does

Prospera provides personalized budget optimization by analyzing users' spending patterns. It delivers budget recommendations, predicts future spending behavior, and helps users improve their financial management. Additionally, the integrated chatbot uses AI to offer real-time financial insights and tips.

How we built it

We developed the frontend using React, ensuring a seamless and responsive user interface. For the backend, we used Flask, which handles user requests, connects to our MongoDB database for data storage, and integrates machine learning models built with scikit-learn. We deployed the Cerebras AI platform to handle our chatbot's AI inference, powered by the LLaMA Large Language Model (LLM), and used Capital One’s CerebrAPI for real-time financial data. PropelAuth was used to ensure secure authentication for all users.

Challenges we ran into

Integrating Capital One’s CerebrAPI with real-time financial data while ensuring security and accuracy.
Deploying the LLaMA model on the Cerebras platform and optimizing its performance for real-time interactions.
Managing data security and privacy concerns, especially with sensitive financial data.
Ensuring a smooth frontend-backend connection, especially with complex API calls and machine learning predictions.

Accomplishments that we're proud of

Successfully deploying an AI-powered chatbot that can deliver fast and accurate financial insights using the Cerebras platform.
Creating a smooth and intuitive user interface that allows users to effortlessly manage their budgets.
Integrating real-time financial data from Capital One’s CerebrAPI to provide users with up-to-date information.
Ensuring secure and scalable user authentication with PropelAuth.

What we learned

How to effectively integrate AI and machine learning models into a real-time application for financial analysis.
The importance of ensuring data security when dealing with sensitive financial information.
How to deploy and scale an AI application using cutting-edge platforms like Cerebras.
Optimizing both frontend and backend performance for a better user experience.

What's next for Prospera

Expanding the machine learning models to offer more detailed financial insights and predictions.
Integrating additional financial services APIs to offer users a wider range of features.
Adding more personalization features based on individual user financial goals and behavior.
Continuing to improve the chatbot for more advanced interactions and financial advice.
Exploring mobile app development to make Prospera more accessible on the go.