Imagine a smart assistant that cuts through the noise of conflicting diet advice to help people actually enjoy cooking healthy meals. It uses AI to study how we shop and eat online to figure out what stops us from making better choices. The goal is to turn passive shoppers into active participants who shape a better food environment.
Consumers are overwhelmed by conflicting nutritional information and digital environments that encourage unhealthy eating. This makes it difficult for food companies to successfully promote sustainable and healthy home-cooking habits.
AI algorithms using deep learning to analyze online big data and user-oriented digital tools to support healthy food choices.
If you are a recipe app provider dealing with low user retention for healthy meals — this project developed AI-powered user tools that make sustainable cooking the most attractive choice for the consumer.
If you are a digital grocer dealing with a food environment that pushes unhealthy choices — this project developed deep learning analysis of big online data to help you create a digital environment that nudges users toward nutrition guidelines.
If you are an insurer dealing with high costs of diet-related illnesses — this project developed citizen science-based solutions that empower people to shift their eating patterns organically.
Based on available project data, specific pricing for the tools is not mentioned; however, the project is supported by a 3,000,000 EUR EU contribution.
The project uses big data analysis and deep learning techniques designed for large-scale surveys and online data, suggesting a capacity for industrial scaling.
Based on available project data, the specific licensing terms are not listed, though the project emphasizes open social innovations.
The project aims to dampen nutritional noise and help citizens follow nutrition guidelines, which aligns with regulatory goals for healthier consumption.
The project runs from 2024-11-01 to 2027-10-31.
The consortium consists of 10 partners across 3 countries (BE, EL, LT). It is heavily weighted toward research and academia, with 3 universities and 2 research organizations. Industrial presence is low at 10% (1 industry partner and 2 SMEs), indicating the project is currently more focused on scientific discovery and tool development than immediate commercial rollout.
Contact the Katholieke Universiteit Leuven research office.
Contact us to track the development of these AI nutrition tools.
