• Prof. Pallavi U. Nehete1
• Kaveri. R. Zanzane
• Shivani. U. Patil
• Prof. Yogesh J. Gaikwad
• Vedant Shinde

Abstract—The vast majority concur that music is expressive and its expressivity can be effortlessly connected with individuals' feelings, practically a wide range of human feelings straightforwardly connected with the particular music class. Human's feelings like satisfaction, outrage, trouble, dread, despondency and delicacy can not entirely set in stone through their looks. Music could change human's feelings, could impact their temperament, lastly could influence their wellbeing. Melodic Therapy is one among the most seasoned techniques utilized for treating a portion of the mental infections. The mix of Musical treatment and facial feeling identification brings about a keen framework that sorts a music assortment in light of the class conveyed by every music and afterward prescribes an appropriate music playlist to the therapist for the patients in view of their present mind-set. The picture is exposed to facial location and feeling perceiving the procedures of the patients. The music that best matches this feeling is then suggested playlist that gives the best outcomes to unwind and quiet patients.

Keywords/Catchphrases: Music idea, Facial Recognition, Open CV, Python.

"“Emotify 2.0: Real Time Facial Expression Based Smart Music Player”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.l318-l330, May 2022, Available :http://www.jetir.org/papers/JETIR2205C47.pdf

"“Emotify 2.0: Real Time Facial Expression Based Smart Music Player”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppl318-l330, May 2022, Available at : http://www.jetir.org/papers/JETIR2205C47.pdf