Personal Nutritionist Recommendation Using Ensemble Machine Learning Techniques

B.Vikas Varma , B.Santosh , R.Harish Sravan , A.Ramgopal Reddy , Mr.R.Muthu Venkatakrishnan

K- Nearest Neighbor, Internet of medical things, Random Forest, Decision Tree.

People make decisions related to food every day. They all think about what to eat, where to eat, how much nutritional value this food has, can this make me lose weight, can this food make me healthy and other questions. Recommendation systems help the user to make fast decisions in these complex information spaces. These systems include informative content and services, which persuade users to alter their behavior. This recommender could exploit the nutritional values of the food to inform its recommendations

Published Paper   E-Certificate

"Personal Nutritionist Recommendation Using Ensemble Machine Learning Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2233 - 2235, April-2023, Available :https://ijsdr.org/papers/IJSDR2304347.pdf

Volume 8 Issue 4, April-2023

Pages : 2233 - 2235

Paper Reg. ID: IJSDR_205603

Published Paper Id: IJSDR2304347

Downloads: 000347229

Research Area: Engineering

Country: Selaiyur, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2304347

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2304347

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition