Developing a Recommendation System for Personalized Nutrition Plan

July 2023
Vol-9, Issue-4
Paper ID: 21180
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Android Application Development
Keywords
Customized nutrition personalized dietary recommendation cutting-edge technologies body-mass index copyright
Abstract
There is a demand for customized nutrition plans as a result of the the realization that diet has a substantial impact on human health and well-being. To provide personalized dietary recommendations, these plans take into account a person's particular features, such as age, gender, body composition, lifestyle, and food preferences. The development of a recommendation system for customized nutrition plans is crucial to properly meet this demand and assist people in achieving their health goals. The goal of this project is to create and implement a recommendation system that makes use of cutting-edge technologies to produce personalized nutrition plans. The suggested system takes a comprehensive approach, focusing largely on physical characteristics like weight, height, and body mass index while taking into account other factors that affect dietary requirements and preferences. To create individualized suggestions, it considers both personal health goals and general nutritional recommendations. A comprehensive database that includes a wide range of food items, their nutritional values, and related health features is built in order to apply the recommendation system. The most recent scientific discoveries and dietary recommendations are reflected in this database, which is often updated. Access to the system and instructions on how to follow the suggested nutrition plans are given to participants. The success of the system is evaluated through studying changes in the participants' blood markers, body composition, and subjective well-being. An effective recommendation system that can create customized nutrition plans in line with a person's preferences and health goals will be the result of this research. A system like this could offer customized nutritional advice to a wide spectrum of people, transforming the area of nutrition. The ultimate goal of creating this recommendation system is to enable people to make intelligent food choices and enhance their overall well-being and health.

Author Information

# Name Institute / Affiliation
1 Aritra Dutta Dayananda Sagar Academy of Technology and Management
2 Manjula Sanjay Koti Dayananda Sagar Academy of Technology and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dutta, Aritra & Koti, Manjula Sanjay (2023). Developing a Recommendation System for Personalized Nutrition Plan. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 1051-1054.
MLA Style
Dutta, Aritra, and Manjula Sanjay Koti. "Developing a Recommendation System for Personalized Nutrition Plan." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 1051-1054.
IEEE Style
Aritra Dutta and Manjula Sanjay Koti, "Developing a Recommendation System for Personalized Nutrition Plan," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 1051-1054, 2023.
Vancouver Style
Dutta Aritra, Koti Manjula Sanjay. Developing a Recommendation System for Personalized Nutrition Plan. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):1051-1054.
Harvard Style
Dutta, Aritra & Koti, Manjula Sanjay (2023) 'Developing a Recommendation System for Personalized Nutrition Plan', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 1051-1054.
Chicago Style
Dutta, Aritra and Manjula Sanjay Koti. "Developing a Recommendation System for Personalized Nutrition Plan." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1051-1054.
Turabian Style
Dutta, Aritra and Manjula Sanjay Koti. "Developing a Recommendation System for Personalized Nutrition Plan." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1051-1054.

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