Digital capture of dietary habits and lifestyle

Problem Addressed

Traditional dietary records (questionnaires or manual food diaries) are often inaccurate and prone to bias. In personalised nutrition, access to objective and continuous data on actual food consumption is essential.

What we do and how we do it

• We implement image recognition algorithms to identify foods and estimate portion size and nutritional composition.
• We synchronise dietary information with data on physical activity, sleep and metabolic parameters.
• Results are integrated into digital platforms that enable the assessment of dietary patterns and the generation of personalised recommendations.
• This approach supports practical applications in clinical studies, population monitoring and personalised nutrition services.

Key Benefits

• Elimination of bias in dietary recording.
• Continuous and automated assessment.
• Improved adherence and accuracy in personalised nutrition programmes.
• Generation of real-world datasets for research on dietary habits and epidemiological studies.