Inspiration
We were inspried to combine advance generative AI with smart engineering to build autonomous, scalable solutions for financial services.
What it does
We are building an AI-powered Retrieval-Augmented Generation (RAG) chatbot designed to serve as a reliable and intelligent financial advisor. By combining advanced natural language understanding with real-time access to curated financial data, our chatbot can answer financial inquiries, provide tailored advice, and assist users in making informed decisions about loans, investments, budgeting, and more. It’s like having a knowledgeable financial expert at your fingertips 24/7, delivering precise, trustworthy, and actionable insights.
How we built it
We built our intelligent financial advisor using Streamlit for an interactive interface, FastAPI for seamless backend integration, and LangChain to power advanced Retrieval-Augmented Generation (RAG) capabilities.
Challenges we ran into
One challenge we faced was integrating Streamlit to create a seamless and user-friendly interface while ensuring compatibility with the backend and RAG capabilities.
Accomplishments that we're proud of
We proud of our intragtion and that we added a ripple effect theme into the UI.
What we learned
How to use RAG.
What's next for Team Submission
We would like to implement visual elements in the responds like graphs and show stats.
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