Tatrinvest
AI-assisted investment platform combining machine learning, gamification, and financial education to simplify investing for all experience levels.
ML Engineer
Built AI-powered investment features including prediction models and a financial assistant.
Tatrinvest was developed as a user-friendly investment platform designed to make financial markets accessible to a wide audience, from beginners to experienced investors. The goal was to combine intelligent automation with an engaging user experience to simplify decision-making and encourage active participation in investing.
The platform enables users to buy and sell stocks through a streamlined interface while providing support through an AI-powered financial assistant. This assistant analyzes user preferences and behavioral patterns to suggest personalized investment strategies and adapt over time based on feedback.
Machine learning models were used to process market data and generate stock recommendations, leveraging interpolation techniques to better capture short-term trends. The system also integrates natural language processing to power a conversational AI interface, making financial insights more accessible.
Tatrinvest incorporates elements of gamification, such as goals, rewards, and challenges, to make investing more engaging and educational. It also includes financial literacy features aimed at helping users build confidence and understanding in managing their finances.
Built with a modern stack including Next.js, React, PyTorch, MongoDB, and PostgreSQL, the platform demonstrates how AI, data analysis, and thoughtful user experience design can come together to create a more approachable and interactive investment experience.
Contribution
Worked on interpolation techniques for stock price prediction and co-developed an LLM-based AI financial assistant, primarily focusing on backend implementation and API design.
