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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM33347

Advanced Dietitian Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM33347

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM33347

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

UP

Ujjwal Prakash

AM

Aditya Muskan

GM

Gopal Mahto

PBB

Prof. Badal Bhushan

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Abstract

The “Advanced Artificial Intelligence Dietitian” (AI-Dietitian) project explores the potential of AI to revolutionize personalized nutrition. Traditional dietary approaches often struggle with individual complexities and lack continuous guidance. We propose an AI-powered system that transcends these limitations, offering: · Comprehensive Data Integration: The AI-Dietitian analyzes diverse data sets, including medical records, genetic information, activity trackers, and food intake sensors, building a holistic understanding of individual needs and preferences. · Adaptive & Personalized Plans: Leveraging advanced machine learning algorithms, the AI-Dietitian generates dynamic, personalized meal plans that adapt to real-time data and user feedback, ensuring continued effectiveness and adherence. · Continuous Coaching & Support: The AI-Dietitian acts as a virtual coach, providing real-time feedback, nutritional education, and motivational support through natural language interaction and personalized content. · Predictive & Preventative Healthcare: The AI-Dietitian leverages its predictive capabilities to identify potential health risks and recommend preventative dietary interventions, promoting long-term health and well-being. This project addresses the limitations of traditional dietetics and explores the ethical considerations of AI in healthcare. We believe the AI-Dietitian has the potential to democratize personalized nutrition, promoting healthier communities and reducing healthcare costs.

KEYWORDS

Artificial Intelligence Machine Learning Personalized Nutrition Health Coaching Predictive Healthcare Ethical AI

Cite This Article

Ujjwal Prakash, Aditya Muskan, Gopal Mahto, Prof. Badal Bhushan, "Advanced Dietitian Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM33347

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Publication Date

12/31/45418

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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