• Ashwini Lakade
• S. S. Palnitkar
• Sourav Kumar
• Pritam Kumar Yadav

It is often confusing for a person to decide which music he/she has to listen from a massive collection of existing options. There have been several suggestion frameworks available for issues like music, dining, and shopping depending upon the mood of the user. The main objective of our music recommendation system is to provide suggestions to the users that fit the user’s preferences. The analysis of the facial expression/user emotion may lead to understanding the current emotional or mental state of the user. Music and videos are one region where there is a significant chance to prescribe abundant choices to clients in light of their inclinations and also recorded information. It is well known that humans make use of facial expressions to express more clearly what they want to say and the context in which they meant their words. Human expression is one of the ways of communication. The human mood can be recognized by facial expression. In this system, facial expression-based music recommendation has been presented. The system consists of two modules, first is facial expression recognition and second is music recommendation system. There are some basic moods, neutral, anger, surprise, disgust, sadness, and happiness. The CNN based approach is used to classify the human expression from facial image. The music is then recommended based on the recognized facial expression. This system would help the user to make a music playlist without wasting time.

facial expression recognition, convolution neural network (CNN), average weighting method, Deep Learning, Image Recognition.

"Real time Emotion Based Automatic Music Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.373-377, August-2022, Available :http://www.jetir.org/papers/JETIRFP06065.pdf

"Real time Emotion Based Automatic Music Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp373-377, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06065.pdf