Unravelling the power of AI: A comprehensive comparison of nutritional status – BMI and AI Tools

Abstract

Unhealthy eating habits developed during college days can significantly have a negative impact on body of students. Thus, eating habit should be assessed intermittently or nutritional screening can help to detect any deficiencies. Nutritional assessment if done by using AI based applications can help in accurate estimation and assist in proper diet counselling to students. A cross sectional study was undertaken to assess nutritional status 400 students studying in selected university. Anthropometric measurements were done to assess the nutritional status and was interpreted by WHO BMI (Body Mass Index) classification criteria. It was further compared with nowadays available AI tools which can help or support the traditional ways of assessing BMI. University level education on food selection is very important so that students can make healthier choices. Though snacking habits among youngsters is common and cannot be removed but if inculcating healthier snacking habits may help them to adhere to dietary guidelines. Even AI based apps can be designed which helps them to track their eating habits.

Ähnliche Arbeiten