AURA: AI Unified Recommendation for Nutrition and Activity

Sakshi S. Yadav, Soniya U. Vasave and Harshada U. Salvi

International Journal of Scientific Research in Science and Technology, 2026, vol. 13, issue 3, 1003-1012

Abstract: Our bodies are affected by weight and this makes health issues more obvious. Things are different now because our lifestyles have changed and this makes it harder to live a life. Not many people are active like they should be and eating food is a challenge. People around the world are dealing with extra weight because of these changes in lifestyle. Having much weight leads to health problems like diabetes heart problems and liver problems. Doctors use something called BMI to keep track of our health. Knowing your BMI does not always help you figure out how to stay healthy in your daily life. Most people know that eating the food and exercising are important for staying fit and feeling good. It is hard to stick to this. There are reasons for this but one big reason is that fitness apps do not give personalized advice. These apps usually give advice that does not fit your life or needs. Also the feedback from these apps is often not given at the time which makes people lose motivation quickly. AURA is different. AURA is designed to give you meal choices and workout plans based on your individual needs. AURA uses machine learning to adapt to your progress and health data. AURA has features that adjust based on your weight, age and activity patterns to give you the fit. What I like about AURA is that it is easy to use. AURA is simple so anyone can use it no matter how good they are with technology. Since many people are still dealing with weight problems having a solution, like AURA that caters to needs can make a big difference.

Keywords: Artificial Intelligence; Personalized Nutrition; Physical Activity Recommendation; BMI Analysis; Machine Learning; Digital Health (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST26133233 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST26133233/IJSRST26133233 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v13:y2026:i3:id:1693

DOI: 10.32628/IJSRST26133233

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().