Image Recognition in the Kitchen: A Novel Approach to Meal Planning with Accuplate

Innovative image recognition technology is revolutionizing meal planning and cooking through web applications that identify ingredients from food images and generate recipe suggestions. The proposed system, powered by deep learning and advanced image recognition, follows a multi-step process including image preprocessing, feature extraction, and ingredient recognition, culminating in personalized recipe generation. After extensive training on diverse food images, the web app demonstrates high accuracy in recognizing both common and uncommon ingredients, offering tailored meal suggestions that cater to various dietary needs. The system encourages users to explore new dishes, promotes healthy eating, and significantly reduces meal preparation time. Despite its benefits, the app faces challenges such as image quality and the need for a continuously updated ingredient database. Overall, the web app represents a major advancement in meal planning, providing an efficient and user-friendly solution for healthier and more creative cooking experiences.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/ssitcon62437.2024.10796023
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

Image Recognition in the Kitchen: A Novel Approach to Meal Planning with Accuplate

R. Uma, Shanaya Valentina Gerard, Keerthana Rajagopal, Utkarsha Manoj et al.
Image Retrieval and Classification Techniques
article

Image Recognition in the Kitchen: A Novel Approach to Meal Planning with Accuplate

R. Uma, Shanaya Valentina Gerard, Keerthana Rajagopal, Utkarsha Manoj, Naren Ramanathan, H Sarojadevi
article en

Abstract

Innovative image recognition technology is revolutionizing meal planning and cooking through web applications that identify ingredients from food images and generate recipe suggestions. The proposed system, powered by deep learning and advanced image recognition, follows a multi-step process including image preprocessing, feature extraction, and ingredient recognition, culminating in personalized recipe generation. After extensive training on diverse food images, the web app demonstrates high accuracy in recognizing both common and uncommon ingredients, offering tailored meal suggestions that cater to various dietary needs. The system encourages users to explore new dishes, promotes healthy eating, and significantly reduces meal preparation time. Despite its benefits, the app faces challenges such as image quality and the need for a continuously updated ingredient database. Overall, the web app represents a major advancement in meal planning, providing an efficient and user-friendly solution for healthier and more creative cooking experiences.

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Image Retrieval and Classification Techniques
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Image Recognition in the Kitchen: A Novel Approach to Meal Planning with Accuplate — R. Uma, Shanaya Valentina Gerard, et al. · (2024) | TGRS Research Map | TGRS