This is Gen-AI based financial assistant which uses Multi-Agent system to help users learn about the Indian stock market and make informed decisions.
This project is a comprehensive platform designed to educate users about the Indian stock market through interactive simulations and a powerful multi-agent AI financial assistant.
Users can:
Experience realistic stock trading simulations with market fluctuations, risk scenarios, and behavioral models (e.g., short selling, bankruptcy).
Interact with an intelligent multi-level advisor system, led by a Chief Advisor that synthesizes insights from specialized agents.
Receive personalized investment guidance based on user behavior, portfolio performance, and market conditions.
The platform features a Next.js frontend (Vercel) and a Flask backend (Render) integrated with technologies.
By combining AI-driven recommendations with hands-on simulations, the platform empowers users to learn, experiment, and build financial literacy in a dynamic stock market environment.
During the process of Hackathon, our team worked to build the virtual stock market simulator, and making the agents coordinate with each other and thus finalizing the output and then connecting them with the frontend, by deploying the multi agents system in python on render, thus allowing it to work fully functional with the frontend.