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Developing a Personality Based Song Recommendation System

Vaibhav Baladhare*, Sujata Wankhede**, Vaibhav Baladhare***, Riya Walde****, Vedant Dhande*****, Isha Gothwad******, Rugved Deshmukh*******

*-****** Department of Computer Science and Engineering, S.B. Jain Institute of Technology, Management and Research, Nagpur Maharashtra, India.

Periodicity:April - June'2025

Abstract

This paper presents an Emotion-Based Music Recommendation System that utilizes facial expression analysis to provide personalized music suggestions based on a user's real-time emotional state. By integrating computer vision, deep learning, and the YouTube Data API, the system detects emotions such as happiness, sadness, anger, and neutrality, mapping them to appropriate music moods. It further refines recommendations based on user preferences like genre and language, ensuring a customized experience. The system also offers a mood adjustment feature, allowing users to either embrace or alter their emotional state through music. With a secure authentication system and an intuitive user interface, this approach enhances emotional well-being by combining artificial intelligence and music, making recommendations more dynamic, adaptive, and engaging.

Keywords

Emotion Recognition, Music Recommendation, Facial Analysis, Deep Learning, Mood Mapping, Playlist Generation.

How to Cite this Article?

Wankhede, S., Baladhare, V., Walde, R., Dhande, V., Gothwad, I., and Deshmukh, R. (2025). Developing a Personality Based Song Recommendation System. i-manager’s Journal on Software Engineering, 19(4), 1-12.

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	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25

Developing a Personality Based Song Recommendation System

Abstract

Keywords

How to Cite this Article?

References

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