Authors :
Gaikwad Uday Vijaysinh; Ghodake Shubham Shivaji; Mokalkar Renuka Ashok; Jagtap HrutvikShahaji
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3Q1yCAh
DOI :
https://doi.org/10.5281/zenodo.7490716
Abstract :
- The internet and mobile technology have
developed quickly and made it possible for us to freely
access various music resources. While the music industry
might lean more toward certain genres of music. But
there is no particular way by which we can understand
what exactly user wants to listen based on current mood
or emotion. Music is a great way to express emotions and
moods. For example, people like to listen to happy songs
when they are feeling good, a soothing song can help us
to relax when we're feeling stressed or exhausted and
people tend to listen some sort of sad songs when they
are feeling down. So in this project, we are going to
develop a system which will capture the real time
emotion of user by conversating with user or by other
means and based on that emotion related songs will be
recommended. We are going to categorize songs into the
groups based on the categories like Happy, Sad, Neutral
etc. Then according to the captured emotion from the
user, the songs related to that emotion will be
recommended. In this way, user can listen the songs
according to the mood.
Keywords :
Recommendation System, Emotion Recognition, Interactive UI, Mood based classifier.
- The internet and mobile technology have
developed quickly and made it possible for us to freely
access various music resources. While the music industry
might lean more toward certain genres of music. But
there is no particular way by which we can understand
what exactly user wants to listen based on current mood
or emotion. Music is a great way to express emotions and
moods. For example, people like to listen to happy songs
when they are feeling good, a soothing song can help us
to relax when we're feeling stressed or exhausted and
people tend to listen some sort of sad songs when they
are feeling down. So in this project, we are going to
develop a system which will capture the real time
emotion of user by conversating with user or by other
means and based on that emotion related songs will be
recommended. We are going to categorize songs into the
groups based on the categories like Happy, Sad, Neutral
etc. Then according to the captured emotion from the
user, the songs related to that emotion will be
recommended. In this way, user can listen the songs
according to the mood.
Keywords :
Recommendation System, Emotion Recognition, Interactive UI, Mood based classifier.
