Cuisine Detection Using the Convolutional Neural Network

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Dipti Pawade 1 Ashwini Dalvi 1 Irfan Siddavatam 1 Myron Carvalho 1 Prajwal Kotian 1 Hima George 1

1. K. J. Somaiya College of Engineering, Vidyavihar, Mumbai, India

* Corresponding author.


Received: 16 Mar. 2020 / Revised: 20 Mar. 2020 / Accepted: 25 Mar. 2020 / Published: 8 Jun. 2020

Index Terms

Convolutional Neural Network, Cuisine Identification, Nutrition, ReLU.1


In today’s fast world, everyone wants the information in one click. The same rule applies when you have some food items in front of you. In social events, few cuisines are known to us while some are not. Also, in a few cases, we know the cuisine name, but we are not aware of its nutritional value. This motivated us to develop a system that can identify the cuisine name from the image and gives the nutrient value for the same. Here Convolutional Neural Network (CNN) is used to predict the cuisine name present in an image and then further its nutritional value is calculated based on the information present in a database. User needs to click the image of the cuisine; the application will identify the cuisine name and its nutrition value for standard serving amount considering the cuisine is prepared using the standard recipe.

Cite This Paper

Dipti Pawade, Ashwini Dalvi, Dr. Irfan Siddavatam, Myron Carvalho, Prajwal Kotian, Hima George. "Cuisine Detection Using the Convolutional Neural Network ", International Journal of Education and Management Engineering(IJEME), Vol.10, No.3, pp.1-11, 2020. DOI: 10.5815/ ijeme.2020.03.01


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