Music and Movie Recommendation Through Emotion Detection

Registration ID: IJNRD_195052

Published ID: IJNRD2305349

DOI: Click Here to Get

Prasanna Jain , Yash Patil , Yogeshwar Pawade

Face Recognition, Feature extraction, Emotion detection, Recognition, Music, Movie, Web-cam.

— It is sometimes0difficult for a0person to0choose which music and movie to listen to or watch from0a vast array of available0selections. Depending on the user's0mood, there have been numerous recommendation frameworks0accessible for concerns such as music, 0dining, and shopping. The primary goal of our music recommendation0system is to present consumers with options that match their interests. The examination of the user's facial expression/emotion may lead0to a better understanding0of the user's present emotional or mental0state. Music and Movies are one area where there is a huge opportunity to provide several0options to clients based on their preferences and0collected data. Humans are widely recognized for using0facial expressions to indicate0what they wish to say and the context0in which they meant their words. More than060% of users say that at some point in time, the quantity of0songs in their music collection is so enormous that they are0unable to determine which song to play. By creating a0suggestion system, it may be possible to aid a user in deciding which music to listen to, hence reducing the user's stress levels. The user would0not have to waste time searching or looking for0songs, and the best track matching the user's mood would be recognized, and songs0would be displayed to the user based on0his/her mood. The picture of the user is taken using a0webcam. The user's photo is captured, and then, based on the user's mood/emotion, 0an appropriate songs and movies from the user's playlist0is shown, suiting the user's requirements.

Published Paper   E-Certificate

Prasanna Jain, Yash Patil, & Yogeshwar Pawade (May-2023). Music and Movie Recommendation Through Emotion Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d365-d371. https://ijnrd.org/papers/IJNRD2305349.pdf

Volume 8 Issue 5, May-2023

Pages : d365-d371

Paper Reg. ID: IJNRD_195052

Published Paper Id: IJNRD2305349

Downloads: 000121986

Research Area: Computer Science & Technology 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305349.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305349

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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