Authors

M.Varsha Nandana Yadav

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

G.Reshma

Assistant Professor, Dept., of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

M.Sreelekha

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

P.Sravanthi

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

T.Sunil

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

K.Sreekarbabu

UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

Abstract

This project is about creating a system that generates facial emoji avatars based on a person’s emotions, allowing them to express their feelings more vividly in digital communication. By using computer vision and emotion recognition technologies, the system captures facial expressions through a camera (like a webcam or smartphone), analyzes them, and identifies emotions such as happiness, sadness, surprise, anger, and fear. Once the emotion is recognized, the system generates an emoji avatar that visually represents that feeling.

The project combines deep learning models trained on a large set of facial expressions to ensure quick and accurate emotion detection. The real-time analysis allows users to instantly see their emotions represented through dynamic emoji avatars. These avatars can be used in various digital communication platforms, such as social media, messaging apps, or virtual spaces, offering a more personal and engaging way to express emotions.

By bringing human emotion into the digital world through avatars, this project aims to make online interactions more relatable and authentic. It has the potential to improve user engagement, mental health monitoring, and overall digital communication, offering a fun and meaningful way for people to share their emotions in virtual environments.

Keywords

Deep Learning CNN LSTM GUI Image Captioning Mapping

Citation of this Article

M.Varsha Nandana Yadav, G.Reshma, M.Sreelekha, P.Sravanthi, T.Sunil, & K.Sreekarbabu. (2025). Emotion Based Facial Avatar Creation. International Current Journal of Engineering and Science - ICJES, 4(3), 30-36. Article DOI: https://doi.org/10.47001/ICJES/2025.403004

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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