Eureka! Institutional Repository

This paper highlights the combination of technology and nutrition as a valuable resource for promoting healthy eating and improving nutritional information. The use of specialized programs can help calculate the nutritional value of foods and provide tailored advice for each individual's diet. In this paper we will analyze useful tools involved in creating such kinds of programs and then create our own nutrition application that will suggest random foods from the USDA database and calculate their macronutrient rates and calories. This will happen by using two very important open source tools Python and Pandas. We will learn ‘’from the inside’’ how a program is created and how important the Pandas library is in reading csv files, which is a great data structure for sharing information on the web. The application we will develop represents an important advancement which leads to an automated computational evaluation of the nutritional content of meals, as in future work we could improve it sufficiently to turn it into a particularly useful tool for the work of a nutritionist.