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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Music and Movie Recommendation Through Emotion Detection |
| Authors Name: | Prasanna Jain , Yash Patil , Yogeshwar Pawade |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_195052
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| Published Paper Id: | IJNRD2305349 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | — 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. |
| Keywords: | Face Recognition, Feature extraction, Emotion detection, Recognition, Music, Movie, Web-cam. |
| Cite Article: | "Music and Movie Recommendation Through Emotion Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d365-d371, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305349.pdf |
| Downloads: | 000118751 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305349 Registration ID: 195052 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: d365-d371 Country: Pune, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305349 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305349 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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