Food Recommendation System

Food recommendation systems aim to provide personalized dietary guidance, leveraging advancements in artificial intelligence to improve food choices and manage health. Current research focuses on developing robust models, including transformer-based deep learning and generative AI approaches, to analyze diverse data sources like recipes, menu images, and user reviews, incorporating factors beyond simple nutritional content such as cooking actions and emotional context. These systems show promise for applications in diet logging, personalized nutrition planning, and enhancing the user experience in online food services, contributing to improved health outcomes and a more informed consumer experience.