Age and Gender Detection Using Deep Learning

This paper presents "Age and Gender Recognition Using Deep Learning" the aims to generate a system thatrecognizes an individual age and gender by using facial picture data. By Using Convolutional Neural Networks(CNNs) and accurately evaluate facialdatatogeneratepredictionsfordifferent age and gender segments.we add sophisticated features to existing face recognition technology, including enhanced processing of a wide range of demographic data, enhanced resistance to variations in lighting, perspective, and facial expression, and optimal real-time performance.Models are taught to ensure fairness and reduce discrimination.This project not only demonstrates thepower of deep learning to solve complex classification problems but also creates added value by addressing key limitations of existing systems. This research represents a major advancement in intelligent perception systems, with potential applications in security, personalized user experience, and human-computer interaction.