The project “EXPECTATION” aims to develop a personalized and explainable AI system for decentralized agents with heterogeneous knowledge. The project proposes to leverage multi-agent systems to extract and inject symbolic knowledge from/in ML predictors and dynamically share custom explanations. The project focuses on the domain of food and nutrition monitoring and recommendation to validate the personalization and heterogeneous knowledge integration approach through a prototype application.