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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

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Paper Title: FACIAL EMOTIONS DETECTION USING HYBRID AI ALGORITHM
Authors Name: Abhishek Mishra , Vinay Kumar Verma
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IJRTI_212151
Published Paper Id: IJRTI2604332
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: Facial recognition technology has emerged as a significant area of research within computer vision and artificial intelligence, enabling machines to identify or verify individuals based on their facial features. The Facial Emotions Detection project, available as an open-source repository, provides a comprehensive framework for face recognition and facial attribute analysis using deep learning techniques. It integrates multiple state-of-the-art models and algorithms to perform tasks such as face detection, verification, recognition, and emotion analysis with high accuracy. By leveraging pre-trained deep neural networks and simplifying their implementation, Facial Emotions Detection bridges the gap between advanced research and practical application development. This research paper explores the architecture, methodologies, and applications of the Facial Emotions Detection system, highlighting its effectiveness in real-world scenarios and its contribution to the democratization of facial recognition technologies.
Keywords: Facial Recognition, Deep Learning, Computer Vision, Face Verification, Emotion Detection, Neural Networks, Open-Source AI, Image Processing
Cite Article: "FACIAL EMOTIONS DETECTION USING HYBRID AI ALGORITHM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c481-c511, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604332.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604332
Registration ID:212151
Published In: Volume 11 Issue 4, April-2026
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Page No: c481-c511
Country: Lucknow, Uttar Pradesh, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604332
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604332
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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