Abstract:
‘Mood Predictor IoT Based Robot’ is an IoT based project in which a webcam will
capture a video. Then it will compare that image with the database. Here we’ve used the
deep face database. We’ve got this idea from Facebook. In the earlier days, the number of
data in the deep face was not very big but nowadays it is increasing day by day because
Facebook users are uploading images more and more. It’s a kind of facial expression
system. We’ve stored the data by getting the idea from the deep face. Like the deep face,
we’ve stored pictures with some expressions. In our database, we have stored some data
like happy, sad, neutral expressions. From the taken image it’ll compare whether the
image is happy, sad, or neutral. Firstly, it’ll compare it with a happy expression if it's true
then the system will show the output. If not, it’ll compare with sad and again it fails then
lastly, it’ll compare with neutral. And play song on YouTube depends on mood. We can
capture all the information and compare it with all possibilities of human emotion which
is stored in our dataset. If no data is matched then it’ll show a message like EXIT. Our
project is not complicated. There is no contradiction in this project. Corresponding to the
expressions it’ll show the output.
