Het RECIPE-project ontwikkelt en test een AI-gestuurd aanbevelingssysteem om de eiwitkwaliteit van plantaardige maaltijden in zorginstellingen te verbeteren. Via co-creatie met diëtisten en chefs, en inzet van educatie en databronnen, draagt het project bij aan een gezonde eiwittransitie in Nederlandse en Deense ziekenhuizen en ouderenzorg.

This project aims to facilitate protein quality optimisations for dietitians and chefs in hospitals and care institutions via
artificial intelligence (AI) driven automated recommendations considering protein quality, food pairing, and sustainability.
Thereby this project aims to improve the protein adequacy of sustainable meals in at least 25 hospitals and at least 25
elderly care institutions in Denmark and the Netherlands. In this way, the project will contribute to the acceleration of a safe
and sound transition towards more sustainable diets within healthcare settings, by addressing important barriers.
This project primarily addresses Theme 2 (Public Awareness of Healthy Sustainable Diets via Effective Consumer Engagement
and Education) and secondary Theme 1 (Product Development). It aligns with AgriFoodTure roadmap track ‘Plant-based Food
Production’.

Project results (= knowledge or insights directly generated by the project: project results; also known as ‘output’)
AI recommender system (TRL3→TRL8) for improving protein quality of meals; Linked and updated protein quality databases
(NL + DK); Accredited online education module for dietitians; Dataset and insights from 50 healthcare institutions;
Publications on usability, adoption, and impact of the recommender; Environmental impact data integrated into system;
Feedback loop for iterative improvement of recommendations; Insights into perspectives and confidence of dietitians, chefs,
and patients