Imagine having a digital food expert in your pocket that knows exactly what you need and what the planet can handle. It combines a giant library of food facts with a smart AI that talks like a human to suggest recipes and meals. Instead of generic advice, it gives you a personal plan that fits your daily life without needing any fancy tech skills.
Consumers often want to eat healthier and more sustainably but struggle to translate that intention into daily action due to a lack of personalized, easy-to-use information.
Smart digital applications and food recommender systems combining Knowledge Graphs and Large Language Models.
If you are a nutrition consultancy dealing with the struggle to keep clients on track between appointments — this project developed AI-driven recommender systems that provide personalized, expert-aligned food choices. This ensures clients follow national health guidelines automatically.
If you are an online grocery platform dealing with low customer engagement in sustainable product categories — this project developed digital recipe tools and AI recommenders that nudge users toward eco-conscious choices. This increases the sale of sustainable food items.
If you are a local food chain operator dealing with a gap between local production and consumer habits — this project developed Living Lab tested applications that connect citizens to sustainable food sources. This helps bridge the divide between intention and actual purchase action.
Based on available project data, no pricing or cost information is provided as the project is currently in the development phase.
The project uses a multi-actor approach with Living Labs in 3 different countries, suggesting a design intended for real-world scaling across different regions.
Based on available project data, specific IP or licensing details are not mentioned in the project description.
It integrates factual knowledge via Knowledge Graphs and uses Large Language Models for natural language understanding and reasoning.
The project period is from 2025-01-01 to 2027-12-31.
The consortium is composed of 9 partners across 7 countries, showing a strong European reach. With 4 SMEs and an industry ratio of 22%, the project has a balanced mix of academic research and commercial application, ensuring that the AI tools are developed with market viability in mind.
Contact ATHINA Research Center for AI and Knowledge Technologies in Greece.
Contact us to track the development of these AI food recommenders for your business.
