Paper Details

. As far as music, we have our interests, most loved specialists, collections and music sort. Sometimes whensome one listening to the music and is in really fantastic mood and plays some enthusiastic songs but suddenly after 2 – 3songs a sad song gets played,somewhere it affects the mood of the person. So there is a need to categorize the musicconsidering emotions or the mood of the person. Right now categorization depends on labels like Artist, Band (Group),Album, Movie, Year, Bitrate. Selecting a melody or music piece suiting our state of mind from a vast database is troublesomeand tedious, since each of the specified parameter can't adequately pass on the enthusiastic perspective connected with thetune. We frequently select a tune or music which best suites our state of mind right then and there. Notwithstanding this solidrelationship, the majority of the music applications exhibit today is still without giving the office of state of mind mindfulplaylist era. What is required is an extra parameter or rather seek channel, for this situation Mood, which connotes thefeeling of that specific music piece. So in this paper we are going to implement a system which categorizes the songs in yourplaylist according to your state of mind or in simple words according to your mood. Here this implementation comprises oftwo domains as Image Processing and Data Mining. Image processing for recognizing the mood of the person and accordingto that playlist of the songs will be created

Apurva Saswadkar, Snehal Kodale, Sarika Lalge, Megha Somavanshi, Prof.Mrs. P. U. Thakre, “A Review on Mood prediction based Music System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 818-823, March 2017.