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		<www.jsetms.com>
		<Title>HUMANEMOTIONRECOGNITIONFROMFACIALEXPRESSIONUSINGDEEPLEARNING </Title>
		<Author>Mrs.K.AshaDevi,S.Lavanya,E.Kiran,B.Dinesh,A.Indu</Author>
		<Volume>03</Volume>
		<Issue>3(1)</Issue>
		<Abstract>Humanemotionrecognitionplaysa vitalroleinenhancinghumancomputer interaction Thisproject presentsarealtime emotion detection system using deep learning techniques The system uses a webcam to capture live video input and processes facial expressions to identify emotions such as happy sad and angry The implementation is done using Python with the help of DeepFace for emotion analysis OpenCV for face detection and Streamlit for building a userfriendly interface Themodelutilizes pretrained deep learningalgorithms to extract facialfeatures andclassify emotions accurately The system provides realtime output along with emojis and messages making it interactive and easy to understand This project demonstrates the effectiveness of artificial intelligence in emotion recognition and its applications in mental health monitoring smart assistants and human behavior analysis</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		