• Ms. P. B. Kasalkar
• Mr. S. A. Kumbhar

Gender and age detection aims to precisely identify a person's gender and age for a variety of uses in the biometrics, marketing, and human-computer interaction industries. This review paper gives a diagram of sex and age discovery methods. It investigates the challenges and progressions in highlight extraction and classification strategies, with a center on profound learning models such as convolutional neural systems. The paper addresses the moral contemplations and predispositions related with sexual orientation and age discovery calculations, emphasizing the significance of information differing qualities and adjusted representation. It talks about real-world applications and highlights the require for assist inquire about on multimodal approaches and comprehensive datasets. This brief survey serves as an important asset for analysts, professionals, and policymakers fascinated by the field of sex and age location.

image processing, accuracy, human-computer interaction, facial analysis, feature extraction, classification, deep learning

"A REVIEW ON GENDER AND AGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.j376-j379, May-2023, Available :http://www.jetir.org/papers/JETIR2305999.pdf

"A REVIEW ON GENDER AND AGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppj376-j379, May-2023, Available at : http://www.jetir.org/papers/JETIR2305999.pdf