Tatrinvest
AI-assisted investment platform combining machine learning, gamification, and financial education to simplify investing for all experience levels.
ML Engineer
Built trend estimation and an LLM financial assistant for an investment app.
Collaborators: Robert Hudák, Dávid Kepič, Adrián Mikolaj
Tatrinvest was built at Hack Košice 2024 as an investment app for beginners. Users can buy and sell stocks in a simple interface. An LLM assistant answers questions and suggests investment strategies based on user preferences. Stock recommendations came from polynomials fitted to market data to estimate short-term trends. Goals, rewards and challenges make investing more engaging, and financial literacy features help users learn the basics.
Contribution
Fitted polynomials to stock price data to estimate short-term trends and co-developed an LLM-based financial assistant, focusing mainly on backend implementation and API design.
