Age and Gender Detection using OpenCV

Age and Gender Detection using OpenCV

Author Name : S. Anil Kumar, S. Jayasri, R. Bhanusri, Sk. Chandini, T. Vineela

ABSTRACT

The primary function of Age and Gender detection is to predict the person’s age and gender by using some methodswith the assistance of python libraries. This work involves an approach to age and gender classification using multiple methods and algorithms like Keras, Conventional Neural Networks etc. Here The Age and Gender Detection project, implemented using Flask, represents an innovative application of computer vision technology with a focus on real-time analysis. The proposed system is the combination of OpenCV, Flask, and deep learning models results in a comprehensive tool that aligns technological sophistication with user accessibility, presenting opportunities for impactful contributions to various domains. This paper contains what and how the Age and Gender Detection works with the help of Deep Convolutional Neural Networks and which data set isused in our proposed model.

Keywords: OpenCV, Flask, Deep Convolutional Neural Network, Age prediction, Gender Detection.