Manuscript Number : CSEIT228249

Diet Recommendation System based on Different Machine Learners

Authors(3) :-Megh Shah, Sheshang Degadwala, Dhairya Vyas

In today's culture, many people suffer from a range of ailments and illnesses. It's not always simple to recommend a diet right away. The majority of individuals are frantically trying to reduce weight, gain weight, or keep their health in check. Time has also become a potential stumbling block. The study relies on a database that has the exact amounts of a variety of nutrients. As a result of the circumstance, we set out to create a program that would encourage individuals to eat healthier. Only three sorts of goods are recommended: weight loss, weight gain, and staying healthy. The Diet Recommendation System leverages user inputs such as medical data and the option of vegetarian or non-vegetarian meals from the two categories above to predict food items. We'll discuss about food classification, parameters, and machine learning in this post. This research includes different machine learner K-nearest neighbor, Support vector machine, Decision Tree, Navier buyers, Random Forest and Extra tree classifier comparative analysis for future diet plan prediction.

Authors and Affiliations

Megh Shah
Research Schoar, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
Sheshang Degadwala
Associate Professor, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
Dhairya Vyas
Managing Director, Shree Drashti Infotech LLP, Vadodara, Gujarat, India

Diet Recommendation, Machine Learning, Clustering, Health Factors, vegetarian and non-vegetariana

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Publication Details

Published in : Volume 8 | Issue 3 | May-June 2022
Date of Publication : 2022-05-03
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-10
Manuscript Number : CSEIT228249
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Megh Shah, Sheshang Degadwala, Dhairya Vyas , "Diet Recommendation System based on Different Machine Learners", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.01-10, May-June-2022. Available at doi : https://doi.org/10.32628/CSEIT228249
Journal URL : https://res.ijsrcseit.com/CSEIT228249 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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