Calorie Measurement and Food Recognition Using Machine Learning

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Year : April 5, 2024 at 3:22 pm | [if 1553 equals=””] Volume :15 [else] Volume :15[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 01 | Page : –

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    Nisarg Kishorchandra Atkotiya, Ramani Jaydeep Ramniklal, Jayesh N. Zalavadia

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  1. Research Scholar, Assistant Professor, Assistant Professor, Department of Statistics, Saurashtra University, Rajkot, CS & IT Department, Atmiya University, Rajkot, Department of Comm. & Mngt., Atmiya University, Rajkot, Gujrat, Gujrat, Gujrat, India, India, India

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Abstract

nNow a days whole over the world most of the people suffering from different types of diseases or obesity. Because of bad food habits or eating food without knowing the calorie and other sources from the foods. Precise techniques for gauging food and energy consumption play a vital role in addressing obesity. Offering users or patients accessible and smart solutions to assess their food intake and gather dietary information constitutes valuable insights for long-term prevention and effective treatment programs. So Innovative health applications that encourage informed food choices and customized nutrition tracking have been developed resulting from the increased prevalence of obesity and diseases linked to lifestyle. A successful method for offering predictions of healthy foods is the health application that uses cutting-edge image recognition technology, “Convolutional Neural Networks (CNN)”, to deliver real-time nutrition information based on food photographs. The application’s CNN system provides accurate food recognition, doing away with the need for laborious database searches or human data entry. Users receive thorough nutritional information, including information on the macronutrient breakdown, micronutrient content, and probable allergies, enabling them to make quick, health-conscious selections.

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Keywords: Convolutional Neural Network (CNN), Health application, K Nearest Neighbour Model, VGG16 Model, Food Recognition

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Computer Technology & Applications(jocta)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Computer Technology & Applications(jocta)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Nisarg Kishorchandra Atkotiya, Ramani Jaydeep Ramniklal, Jayesh N. Zalavadia Calorie Measurement and Food Recognition Using Machine Learning jocta April 5, 2024; 15:-

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How to cite this URL: Nisarg Kishorchandra Atkotiya, Ramani Jaydeep Ramniklal, Jayesh N. Zalavadia Calorie Measurement and Food Recognition Using Machine Learning jocta April 5, 2024 {cited April 5, 2024};15:-. Available from: https://journals.stmjournals.com/jocta/article=April 5, 2024/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Journal of Computer Technology & Applications

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[if 344 not_equal=””]ISSN: 2229-6964[/if 344]

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Volume 15
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 01
Received February 26, 2024
Accepted March 18, 2024
Published April 5, 2024

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