• Isha Shyam Repal
• Sathvika Selvandurai
• Prof. Prita K Patil

In this fast paced and stressful world, music plays a very important role in a lot of people's lives. It could be for entertainment purposes and sometimes even for therapeutic reasons. To satisfy basic user’s requirements there are a lot of music players available with basic features and a large library. One’s tastes in music vary mostly according to their current mood and have to manually select the songs to soothe them. Hence to be even more personal and efficient understanding human emotions is desirable for better human-machine interaction. Humans express emotions in different ways like facial expression, gestures, speech and even by written text. In this paper we propose a system which uses facial features and speech as inputs to detect the mood and give the corresponding playlist. It also takes the user’s feedback into consideration while doing so.

Face Recognition, Machine Learning, Music Analysis

"Mood Therapist: Emotion Based Music Player", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.169-172, May 2019, Available :http://www.jetir.org/papers/JETIRCS06038.pdf

"Mood Therapist: Emotion Based Music Player", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp169-172, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06038.pdf