Design and Implementation of Intelligent Personalized Dietary Meal Recommendation System

Abstract

This study proposes an “intelligent personalized healthy diet recommendation system”. It uses personal background data, personal preference data, physiological parameter data, and diet control plan requirements input by users and uses the classification and reasoning engine built into the program to build a personal knowledge base, and it analyzes the future state to evaluate the user's health situation; then it uses the optimization method to find out the best meal package combination to meet the user's nutritional, dietary and consumption constraints. It is expected that by utilizing this easy-to-use dietary recommendation APP will help the users to afford the best nutritional combination and healthy eating recommendations according to their situation and health status to achieve the effects of healthcare.