Diet Food Recipe Recommendation by Ingredients using Image Processing and Object Detection

-, Sindhuja (2022) Diet Food Recipe Recommendation by Ingredients using Image Processing and Object Detection. Masters thesis, Dublin, National College of Ireland.

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Abstract

The fact that food supplies us with all the nutrients we need to maintain a healthy lifestyle makes it an indispensable component of our day- to-day existence. Obesity has only lately been recognized as a major problem in terms of public health. Because of this, it is imperative that everyone monitor their dietary intake of nutrients in order to keep up a healthy diet. You can find a web application that helps users of this web app find recipes by photographing their ingredients and uploading them to the app in this paper. This application helps users use emerging technologies in a better way for living a fit and healthy lifestyle, and this paper describes how you can find it. And the diet recipe will be derived from the processed versions of these photographs. People in paid employment will benefit from the paradigm that was offered. The user will be presented with the diet formula of a food item based on the image taken of that food item, as the globe continues to develop current technology such as mobile phones.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Hasanuzzaman, Mohammed UNSPECIFIED
Uncontrolled Keywords:	Deep learning; food recognition; diet recipes
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Q Science > QP Physiology > Nutrition
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	26 May 2023 12:23
Last Modified:	26 May 2023 12:23
URI:	https://norma.ncirl.ie/id/eprint/6663

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