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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58629

Emotion-Aware Virtual Tutor

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58629

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58629

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

S.Sujani Seelan1

YP

Y.Sai Prasanthi2

B

B.Ashok3

TST

T.Prem Sai Teja4

NLN

N. Lakshmi Narayana5

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Abstract

The current educational system is highly impersonal and does not consider the emotional state of learners. This has a significant impact on the learning process. This research aims to develop an Emotion Aware Virtual Tutor that can make effective use of deep learning and affective computing to personalize learning strategies according to the real-time emotional state of learners. In this system, a convolutional neural network based on MobileNetV2 is used for facial emotion recognition using the webcam. The recognized emotions can be mapped to adaptive learning strategies. The system has been trained using the FER-2013 dataset and implemented as a web-based system using React and FastAPI. Experimental results have been obtained to show the effectiveness of the system in improving the engagement and learning efficiency of learners. This system can be highly effective in providing efficient learning strategies in engineering education.

KEYWORDS

Emotion Recognition Virtual Tutor Deep Learning Affective Computing MobileNetV2

Cite This Article

S.Sujani Seelan1, Y.Sai Prasanthi2, B.Ashok3, T.Prem Sai Teja4, N. Lakshmi Narayana5, "Emotion-Aware Virtual Tutor," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58629

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Publication Date

3/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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3

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5

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The authors declare no conflict of interest related to this research work.

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