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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26825

Music Player System for User Facial Recognition Using CNN Algorithm

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26825

Volume:

7 |

11 |

Nov 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

CS

Chaudhari Snehal

MS

Mule Sonal

JA

Jagtap Aditi

DCN

Dr. Chaudhari N.J

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Abstract

A strong language for expressing your emotion is music . Many pepole utilise music therapy to get through difficult time in their life. Emotion and moods can be easily reflected in music , when we are doing sports,we tend to listen to enrgetic music,similarly when we are anxious or tired a nice relaxed song can help use to calm down.”Mood Music ” is a music player which play song based on your mood ,it uses neural network to categorise the many emotions on a person’s face, such as anger ,disgust ,fear etc. Neural network is a method in artificial intelligence .It is a type of machine learning process called deep learning .These neural networks reflect the behavior of the human brain,allowing computer programs to recognize patterns and solve common problems in diverse domains .The project also aims to create a playlist according to different emotion .Thus deep learning algorithms helps one automate a task that can take a long time to perform.

KEYWORDS

Face Recognition Capture Image Detect Mood Emotions Fetch Song

Cite This Article

Chaudhari Snehal, Mule Sonal, Jagtap Aditi, Dr. Chaudhari N.J, "Music Player System for User Facial Recognition Using CNN Algorithm," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 11, Nov 2023. https://doi.org/10.55041/IJSREM26825

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Publication Date

11/20/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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