International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Emotion Detection by Applying CNN

Authors: Varun Jagadeeshwar Jonnalagadda, Sri Santhan Josyula

Country: India

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Abstract: As the human-robot interaction is catching the eye day by day with the increase in need for automation in every field, personal robots are increasing in every area which may be the coping needs of elderly people, treating autistic patients, or child therapy, even in the area of babysitting the child.

In this project, we are going to build a model which can predict human emotion from an image in real-time on a module based on web design where we can explore user's emotions through surveys.

Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Network, JavaScript, FER 2013, Facial Expressions, Python, Kaggle, HTML, Web Design


Paper Id: 230333

Published On: 2023-10-06

Published In: Volume 11, Issue 5, September-October 2023

Cite This: Emotion Detection by Applying CNN - Varun Jagadeeshwar Jonnalagadda, Sri Santhan Josyula - IJIRMPS Volume 11, Issue 5, September-October 2023.

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