Created on 15th September 2024
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Managing finances and making investment decisions can be complex and time-consuming. People often struggle with understanding market trends, analyzing stock performance, or finding reliable financial advice.
How it helps
Get instant answers to financial questions.
Simplify investment decision-making with expert-backed insights.
Access personalized recommendations based on your financial goals.
Eliminate guesswork by receiving data-driven advice for safer and smarter investments.
One of the standout features of our financial assistant is its ability to utilize an LLM model to provide real-time financial data and summarize complex information. Users can ask questions about current market conditions, stock performance, or financial trends, and the LLM fetches up-to-date data instantly.
Not only does the model provide real-time insights, but it also summarizes detailed reports, breaking down complex financial jargon into clear, actionable advice. This helps users save time, avoid confusion, and make smarter decisions based on live market data and expert-level analysis—making finance management more accessible and efficient.
Tracks Applied (1)
Polygon
Technologies used
React.js: Frontend framework for building a dynamic and interactive user interface.
FastAPI: Backend framework for handling API requests and serving the LLM responses.
Pydantic: For data validation and serialization in the FastAPI backend.
Python: Core backend development
including LLM integration.
Git & GitHub: Version control and collaboration across the development team.
ngrok: To expose local development servers to the web for testing API endpoints.