PROTEIN – PROTEIN project is a research initiative led by a consortium of European public- and private-sector organizations working to promote proper nutrition, health and wellbeing. The project brings together experts from across Europe and uses the latest communications and artificial intelligence (AI) technologies to design and develop advanced personalized nutrition and physical activity tools for the everyday life of the EU citizens. During the first 30 months of the project, a first version of the PROTEIN end-to-end ecosystem has been designed, developed, integrated, and technically verified. The PROTEIN system has been subsequently evaluated by both project experts and real users in a first Phase of Project Pilots. The system consists of a mobile application (first release) that has been published in Google Play (to find it just search for ‘PROTEIN EU’) and a web-based Dashboard for nutritionists and other experts, and the users. The PROTEIN system is based on novel scientific achievements and includes numerous novel technologies: ontology containing nutrition domain knowledge, image-based food identification and food weight estimation, food intake estimation based on smart scale data, eating rate analysis based on video or on smartwatch accelerometer data, bowel sound analysis using a smart belt, a novel Volatile Organic Compounds (VOC) sensor, and, ultimately, an AI-based nutrition and physical activity advisor. Next steps for the project include the release of the final version of the PROTEIN system and, right after that, the second Phase of the Project Pilots. These Pilots are originally planned for Autumn 2021 and will comprise of a series of 20 tests that will be conducted in various real life environments ranging from the simple user with a mobile device to the customers of a restaurant in Rome and from the athletes of Benfica in Portugal to patients with Diabetes Type 2 in Germany. PROTEIN has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 817732.