Authors :
Parth Anand Wadkar; Varad Wangikar; Pramod Kanjalkar
Volume/Issue :
Volume 7 - 2022, Issue 11 - November
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3hJMhzr
DOI :
https://doi.org/10.5281/zenodo.7478893
Abstract :
Due to the technological advancements made
by mankind, the 21st century represents the beginning of
an era of unfathomable accomplishments. The
technologies indicated above can be used to our advantage
to determine someone's age and even gender based on
their glance into a camera, photograph, or even a video.
This study paper will carefully outline the entire process,
the approaches and algorithms that can be employed, the
most accurate one, and how it all fits together.
Additionally, it will emphasize how crucial it is and how
applying it can improve our day-to-day lives. The main
goal of the research is to develop a gender and age
detector using deep learning on the audience dataset that
can roughly predict the gender and age of a picture of
someone's face. Additionally, to overcome the issues of
accuracy and timing in order to obtain the most accurate
predictions and results. Additionally, the map for how
this technology can be used for our advantage and a look
at the broad range of applications where it can be used,
from dating apps to matrimonial sites, from security
services, CCTV surveillance, and policing
Keywords :
Convolution Neural Network, Artificial Intelligence, Machine Learning.
Due to the technological advancements made
by mankind, the 21st century represents the beginning of
an era of unfathomable accomplishments. The
technologies indicated above can be used to our advantage
to determine someone's age and even gender based on
their glance into a camera, photograph, or even a video.
This study paper will carefully outline the entire process,
the approaches and algorithms that can be employed, the
most accurate one, and how it all fits together.
Additionally, it will emphasize how crucial it is and how
applying it can improve our day-to-day lives. The main
goal of the research is to develop a gender and age
detector using deep learning on the audience dataset that
can roughly predict the gender and age of a picture of
someone's face. Additionally, to overcome the issues of
accuracy and timing in order to obtain the most accurate
predictions and results. Additionally, the map for how
this technology can be used for our advantage and a look
at the broad range of applications where it can be used,
from dating apps to matrimonial sites, from security
services, CCTV surveillance, and policing
Keywords :
Convolution Neural Network, Artificial Intelligence, Machine Learning.
