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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
ANALYSIS FOR EMOTION DETECTIONUSINGAIANDML
Authors
Srikanth S, Nagashree S, Nagaratna M shanthapurmat, Mohammad Adnan, Mohit Gowda B
Keywords
Emotion Recognition, Depression, ConvolutionalNeuralNetworks,Tkinter
Abstract
Emotion recognition systems based on facial gestures can analyze andtag emotional states from video recordings in real time. These systems work onthe premise that specific facial expressions correspond to particular emotions.Among the six primary emotions, depression is notably significant as a mooddisorder characterized by feelings of sadness, anger, or loss that disrupt dailyactivities. Early detection of depression is vital to prevent severe consequences.Theprojectaimstoanalyzeuseremotionsthroughreal-timevideousingConvolutional Neural Networks (CNN). If depression is detected, an interactivechatbot created with the Tkinter library appears, allowing users to share theirfeelings.Thischatbothelpsuplifttheuser'smood,assessesthelevelofdepression,andassistsinrecovery.Continuousevaluationdifferentiatesbetweensadnessanddepressionfor effective intervention.
IJCRT's Publication Details
Unique Identification Number - IJCRT2407490
Paper ID - 265122
Page Number(s) - e227-e231
Pubished in - Volume 12 | Issue 7 | July 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Srikanth S, Nagashree S, Nagaratna M shanthapurmat, Mohammad Adnan, Mohit Gowda B, "ANALYSIS FOR EMOTION DETECTIONUSINGAIANDML", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 7, pp.e227-e231, July 2024, Available at :http://www.ijcrt.org/papers/IJCRT2407490.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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