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.