conference-paper Open access

Diet Recommendation System Using Machine Learning

  • Zenodo (CERN European Organization for Nuclear Research)
  • European Organization for Nuclear Research
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Abstract

Abstract—In today's society, people are increasingly conscious about their health and lifestyle. However, simply avoiding unhealthy foods and exercising may not be sufficient for maintaining a balanced diet. To lead a healthy life, a balanced diet tailored to an individual's height, weight, and age is necessary. When coupled with physical activity, a proper diet can assist in achieving and sustaining a healthy weight, decreasing the risk of chronic diseases such as heart disease and cancer, and improving overall health. A balanced diet should provide the necessary nutrients for the body to function correctly. Food calories are a measure of the energy stored in food, which the body utilizes for various activities such as breathing, walking, and running. While the average person requires approximately 2000 calories daily, calorie intake is dependent on physical characteristics like weight, height, age, and gender. As a result, one's food choices impact not just their current wellbeing but also their future health. Therefore, a suggested diet plan based on one's physical characteristics and goals may be recommended by a diet recommendation system.

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Publication details

DOI
10.5281/zenodo.7964656
OpenAlex
W4377875872
Document type
conference-paper
Language
EN
Source
Zenodo (CERN European Organization for Nuclear Research)
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