Diet advisor: an image-based food intake analysis and meal recommendation system

This paper introduces an innovative nutrition system designed to promote healthier dietary habits through a user-friendly interface. The system analyses food images to estimate the nutritional content of meals and offers personalized recommendations based on individual characteristics, such as diet, age, height, weight, and physical activity level, which influence metabolic processes. By utilizing advanced deep learning and computer vision technologies, the system provides accurate predictions of nutritional content and gives useful meal suggestions while maintaining efficiency in processing time, offering a balance between accuracy and user convenience.