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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Authors Name: Harsh Deore , Tejas Attarde , Purva Dinge , Akansha Desai , Prof. K. R. Patil
Unique Id: IJSDR2305087
Published In: Volume 8 Issue 5, May-2023
Abstract: The psychological health of college students proves a vital role in their overall academic performance. Neglecting this can result in several problems such as stress, anxiety, depression, etc. These problems need to be detected and controlled at the initial stages itself for the better mental health of the student. Detecting depression in a vast no of college students is a challenging task. Most of the students are totally unaware that they may be having depression. If at all they are aware of it, some students conceal their depression from everyone. So, an automated system is required that will pick out the students who are dealing with depression. A system has been proposed here which captures frontal face videos of college students, extracts the facial features from each frame, and analyses these facial features to detect signs of depression in them. This system will be trained with frontal face images of happy, contempt, and disgusted faces. The presence of these features in the video frames will be analyzed to predict depression in the students.
Keywords: Image processing, Feature Extraction, Facial Features, Depression Detection, feedback
Cite Article: "DEPRESSION DETECTION USING EMOTIONAL ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.607 - 610, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305087.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305087
Registration ID:206287
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 607 - 610
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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