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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 4 | Month- April 2026
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Published Paper Details:
Paper Title
INVERSE COOKING USING CONVOLUTIONAL NEURAL NETWORK
Authors
B.Madhavi, P.L.Srujana, K.Kamala, M.Nikhitha, K.Ruchitha
Keywords
Inverse cooking, Image processing, Food recognition, Deep learning, Text generation.
Abstract
Inverse cooking using a convolutional neural network is a promising approach that utilizes deep learning techniques to determine the ingredients and cooking instructions used in a recipe from an image of the final dish. In this research paper, we propose a model for inverse cooking that uses a deep convolutional neural network to predict the ingredients and cooking steps of a recipe given an image of the final product. We evaluate the performance of our model on a publicly available dataset of food images and recipes and achieve high accuracy in predicting the ingredients and cooking instructions of the recipes. Our study provides insights into the development of deep learning models for inverse cooking and highlights the potential applications of this technique in the food industry. This research paves the way for future work in developing personalized meal-planning systems and improving recipe search engines.
IJCRT's Publication Details
Unique Identification Number - IJCRT2304539
Paper ID - 234519
Page Number(s) - e434-e437
Pubished in - Volume 11 | Issue 4 | April 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
B.Madhavi, P.L.Srujana, K.Kamala, M.Nikhitha, K.Ruchitha, "INVERSE COOKING USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.e434-e437, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304539.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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