NutriMax: an Android Based Personalized Nutrition Management System

Abstract

Personal nutrition management is very important for the sustenance of good health, there are a lot of health complications that occur in the human body when certain food nutrients are insufficient, this results in nutritional deficiencies which are very life-threatening for health vulnerable individuals such as pregnant women, sick people, children and the aged. This research focused on the development of mobile application software with an algorithm based on machine learning of data mining principle to learn, train and analyze the challenges of malnutrition and how to effectively manage it. The mineral value content of one hundred and twenty (120) assorted commonly available Nigerian food substances was collected and contrasted with standard dietary benchmarks. Factory processed foods were not be considered. Hence, a list of daily requirements of food nutrients by the human body was sourced together with a selected number of nutritional deficiencies to create a mobile application powered by an algorithm that establishes a relationship between nutritional deficiencies and their requirements to suggest daily meals for users. The data obtained was uploaded to a real-time database and integrated with Android Studio to build a working Android application interspersed with Java programming language. The food guide application was named NutriMax.