Системний аналіз цифрових помічників здорового харчування та методів персоналізації рекомендацій

Abstract

This research analyzes digital assistants designed to support healthy eating and lifestyle management. The increasing prevalence of obesity and metabolic disorders has stimulated the development of information technology for personalized dietary recommendations. Modern mobile applications provide tools for calorie tracking, weight monitoring, and nutritional analysis. The work examines the structure and functional components of such systems from a systems analysis perspective, focusing on approaches to personalization based on user data. The advantages and limitations of existing solutions are identified. The results of the study outline directions for improving digital nutrition support systems and their effectiveness.