IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v11y2024i2id44.html

Implementation of Diet Consultant Management System

Author

Listed:
  • Ankita Sardar
  • Kirtee Rathod
  • Natasha Bagde
  • Payal Balvir

Abstract

The Diet Consultation Management System (DCMS) represents a pivotal innovation in the realm of dietary counselling and nutrition management. In today's fast-paced society, where lifestyle factors and dietary habits play a significant role in shaping health outcomes, the demand for personalized, accessible, and evidence-based dietary guidance has never been more pronounced. This paper provides an overview of the DCMS, highlighting its key features, functionalities, and potential impact on improving dietary behaviours and also health results. The DCMS is a digital platform designed to streamline the delivery of dietary consultation services, applying cutting-edge technology like machine learning (ML) and artificial intelligence (AI), and mobile computing. By harnessing the power of these technologies, the DCMS offers tailored dietary recommendations and meal plans based on individual preferences, health goals, and nutritional requirements. Through interactive interfaces and user-friendly applications, individuals can access personalized dietary guidance anytime, anywhere, empowering them to make informed decisions about their nutrition and lifestyle.

Suggested Citation

  • Ankita Sardar & Kirtee Rathod & Natasha Bagde & Payal Balvir, 2024. "Implementation of Diet Consultant Management System," International Journal of Scientific Research in Science, Engineering and Technology, Technoscience Academy, vol. 11(2), pages 238-246, April.
    • Handle: RePEc:ijs:ijsrse:v11:y2024:i2:id:44
    DOI: 10.32628/IJSRSET2411233
    as

    Download full text from publisher

    File URL: https://ijsrset.com/home/article/view/IJSRSET2411233
    File Function: Abstract page
    Download Restriction: no
    File URL: https://ijsrset.com/home/article/download/IJSRSET2411233/IJSRSET2411232
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/IJSRSET2411233?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijs:ijsrse:v11:y2024:i2:id:44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.