Emojify With Deep Learning


Authors : G Mohan Sai; B Olive Noel; B Lakshman Sai Kiran; B Karthik Krishna

Volume/Issue : Volume 8 - 2023, Issue 10 - October

Google Scholar : https://tinyurl.com/yc5j73p2

Scribd : https://tinyurl.com/2p9hpy86

DOI : https://doi.org/10.5281/zenodo.10071290

Abstract : In this day and age, communicating emotions through words alone might be difficult. Convolutional Neural Networks (CNN), a sophisticated deep learning algorithm, is used in this research to recognize human facial expressions and improve communicating by automatically recommending emojis that match the displayed emotions, such as happiness, sorrow, anger, and more. Our technology recognizes facial emotions in photos in real time by combining computer vision and deep learning. It then suggests appropriate emoticons to go along with their words, making online discussions more engaging and expressive. This project seeks to bring brightness and complexity to the digital conversational experience, eventually producing a more colorful and expressive chat environment, rather than just solving a problem.

Keywords : CNN (Convolutional Neural Network), Deep Learning, Emotions.

In this day and age, communicating emotions through words alone might be difficult. Convolutional Neural Networks (CNN), a sophisticated deep learning algorithm, is used in this research to recognize human facial expressions and improve communicating by automatically recommending emojis that match the displayed emotions, such as happiness, sorrow, anger, and more. Our technology recognizes facial emotions in photos in real time by combining computer vision and deep learning. It then suggests appropriate emoticons to go along with their words, making online discussions more engaging and expressive. This project seeks to bring brightness and complexity to the digital conversational experience, eventually producing a more colorful and expressive chat environment, rather than just solving a problem.

Keywords : CNN (Convolutional Neural Network), Deep Learning, Emotions.

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