International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.


Author(s) Afsheen, CH. Lakshmi Kumari, Markonda Abhiram Patel, Mittapelli Hemanth Kumar
Country India
Abstract Emoticons have become a ubiquitous part of online communication, but their limitations hinder the expression of nuanced emotions. This project proposes "Emojify," a system that leverages deep learning for real-time emotion recognition through video input. By employing techniques like pre-processing, face detection, and Convolutional Neural Networks (CNNs), Emojify analyzes facial expressions and generates corresponding emojis. This approach goes beyond traditional emoticons, dynamically reflecting emotional intent and enriching virtual communication. The project explores the potential for entertainment applications and user-friendly emoji creation tools with encryption and decryption methods. Emojify holds promise for bridging the emotional gap in virtual interactions, fostering a more expressive and engaging online experience.
Keywords Nuanced emotions, Convolutional neural networks, Encryption.
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-22
Cite This EMOJIFY - Afsheen, CH. Lakshmi Kumari, Markonda Abhiram Patel, Mittapelli Hemanth Kumar - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20899
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