33^rd European Nutrition and Dietetics Conference

AI-Driven Dietary Assessment & Smart Nutrition Technologies

AI-Driven Dietary Assessment & Smart Nutrition Technologies represents a major leap in digital dietetics, automating nutritional analysis, monitoring, and personalized recommendations. AI-powered food recognition systems, mobile nutrition trackers, metabolic sensors, and smart kitchen devices are revolutionizing how individuals understand their dietary habits. These technologies deliver real-time nutrient breakdowns, predictive health alerts, and behavior-adapted diet recommendations. Machine learning algorithms analyze patterns in eating behaviors, physiological markers, and lifestyle data to tailor nutrition plans that adjust dynamically to metabolic needs. Smart wearables now measure glucose fluctuations, hydration status, and nutrient deficiencies, enabling precise dietary interventions. AI models also help clinicians predict nutritional risks, enhance adherence, and optimize diet-disease management across conditions such as diabetes, obesity, cardiovascular disease, and gastrointestinal disorders. By integrating continuous data streams with decision-support systems, smart nutrition technologies are building a foundation for automated, personalized, and highly accurate nutrition care, shaping the future of digital health ecosystems.