Smart analytics

The goal of the project is to develop and integrate a personal student assistant based on large language models (e.g. GPT) into the learning environment of Tallinn University of Technology (TalTech). The assistant will be connected to the university's Moodle learning environment and will be able to provide fast and personalized feedback, helping students with course completion and solving assignments.

This study aims to explore the chemical composition and variability of Estonian bee pollen across different seasons and potentially different regions. The focus is on analyzing the content of various bioactive compounds, such as antioxidants, amino acids, and volatile compounds, to evaluate the nutritional value and potential of pollen as a functional food.