Authors :
Prashant Kumar Pal
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3w083D8
DOI :
https://doi.org/10.5281/zenodo.6511878
Abstract :
Recognition technology has attracted a lot of
attention because of its widespread use price and
market Facial potential. It is utilized in different fields
as a security framework, computerized video handling,
and numerous mechanical advances. In addition, music
is part of it a form of art, known to have great
connection with human emotion. I got the unique ability
to elevate a person’s status. By comparison, this paper
focuses on effective construction of a music
recommendation program that determines user feelings
using Faces Awareness strategies.
The algorithm used will appear to be more efficient
than pass existing programs. Moreover, in the larger
case, this will provide redemptive time as well the work
invested in making this program in person. The overall
thought of the framework is to see looks and suggest
tunes really. The proposed plan will be both time and
cash.
Keywords :
music recommendation, facial acknowledgment, python.
Recognition technology has attracted a lot of
attention because of its widespread use price and
market Facial potential. It is utilized in different fields
as a security framework, computerized video handling,
and numerous mechanical advances. In addition, music
is part of it a form of art, known to have great
connection with human emotion. I got the unique ability
to elevate a person’s status. By comparison, this paper
focuses on effective construction of a music
recommendation program that determines user feelings
using Faces Awareness strategies.
The algorithm used will appear to be more efficient
than pass existing programs. Moreover, in the larger
case, this will provide redemptive time as well the work
invested in making this program in person. The overall
thought of the framework is to see looks and suggest
tunes really. The proposed plan will be both time and
cash.
Keywords :
music recommendation, facial acknowledgment, python.
