Ilias Tagkopoulos

AI can help consumers understand the health effects of their food beyond Nutrition Facts Labels. The goal is to empower users to know what they eat and how it affects their health. We will develop a "food photo to ingredients" and an "ingredients to health outcome" module. In collaboration with the Dietary Assistant project, these will integrate into a mobile app.

The goal of this project is to develop a dietary assistant using a large language model linked to a food-to-chemical knowledge graph. It will offer dietary recommendations, allergen identification, and nutritional information. Specific aims include developing a chatbot with FoodAtlas integration, adding an explainability module, and creating a personalized dietician agent.

This project aims to (a) create a pipeline for screening peptides in food related to antimicrobial, antiflammatory, and obesity-related activities, (b) develop predictors for biochemical pathways that generate bioactive compounds influencing human health and sensory from various chemical compounds.