Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Automated Nutrient Level Determination Using Machine Learning

Authors
Shivanand S. Gornale1, *, A. C. Nuthan2, C Sumitha3
1Department of Computer Science, Rani Chennamma University, Belgavi, Karnataka, India
2Department of Electronics and Communication Engineering, GMIT, Bharathinagara, India
3Department of Electrical and Electronics Engineering, GMIT, Bharathinagara, India
*Corresponding author. Email: shivanand1971@gmail.com
Corresponding Author
Shivanand S. Gornale
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_53How to use a DOI?
Keywords
Nutrient Level Determination; Food Freshness; Python; Machine Learning
Abstract

In present scenario, people look health issues as non-trivial. The primary agenda of life is to have better nutrient food. The calories and nutrition intake as proved harmful worldwide, as it has led to many disease’s however dieticians have mistaken that the standard intake of number of calories is essential to maintain the right balance of nutrition and calorie context in the human body. The common people (literate or illiterate) may not able to analyze and decide about nutrient levels in packed food items and even unable to identify the freshness of the food. This system is an aid in such scenarios where if the ingredient list is given, then the system gives a suggestion regarding the nutrition level based on the input. Since the system is to be used by the common (non-technical) people the input to the system is the image of the nutrient list (available at rear end of packaged food items).So our system involves both image processing and machine learning (for automated suggestions based on the input ingredient list).

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-196-8_53
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_53How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shivanand S. Gornale
AU  - A. C. Nuthan
AU  - C  Sumitha
PY  - 2023
DA  - 2023/08/10
TI  - Automated Nutrient Level Determination Using Machine Learning
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 701
EP  - 710
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_53
DO  - 10.2991/978-94-6463-196-8_53
ID  - Gornale2023
ER  -