An AI-Enabled Nutrient Intake Monitoring App with Live Scanning Methods for Obesity and Diabetes Prevention in Young People.

The Project

This is an app made to track the nutrient intake users have from the food they consume. This app consists of three major components: AI scanning, nutrition suggestions, and data storage. The scanning part of this app is to receive information about the nutrient level of the given food by scanning the food that is in front of the camera to receive data immediately. With intensive times of training, our high-tech AI has the ability to receive information the second that it scans the food. After that, users get to choose whether to eat this food, depending on the food's nutrition level. If they want to consume it, the users can hit the check mark to collect the food under their daily meal consumption history, which will be stored directly at the data storage center. With the data storage feature, users can track every meal they have eaten for the past years to design a specific diet plan that fits them best for them. Not only that, but our app also offers nutrient level suggestions depending on the gender and age of the user and gives a suggested amount of nutrition intake to help the user to keep a healthy life.

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