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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM21754

MUSIC RECOMMENDATION SYSTEM USING FACIAL EXPRESSION RECOGNITION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM21754

Volume:

7 |

5 |

May 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

DP

Durgesh Patil

KS

Kunal Shewale

RB

Rahul Borase

MC

Mohit Chordiya

PVK

Prof. Vidya Khairnar

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Abstract

The majority of people will first think of smart speakers, wearables, and smart home gadgets that broadcast music when discussing artificial intelligence applications in music. Despite the fact that these developments are unquestionably important, the music industry is increasingly utilizing machine learning technologies that are based on artificial intelligence. These days, researchers are looking at new technologies that include emotional intelligence into current machine learning applications. Research on emotional analysis for the purpose of offering various music services has attracted a lot of interest recently among these technologies. The development of emotional intelligence technology will result in several focus areas that can perceive emotions; hence, the project that is being presented is an artificial intelligence-based machine learning application that will suggest music depending on mood.

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Cite This Article

Durgesh Patil, Kunal Shewale, Rahul Borase, Mohit Chordiya, Prof. Vidya Khairnar, "MUSIC RECOMMENDATION SYSTEM USING FACIAL EXPRESSION RECOGNITION," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

5/23/2023

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Double-Blind Peer Review

Review Rounds: 2

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