DESIGN AND IMPLEMENTATION OF AN AGE AND GENDER PREDICTION SYSTEM USING FACIAL RECOGNITION
Abstract
This project “design and implementation of an age and gender prediction system using facial recognition” presents a web-based system for predicting an individual’s age and gender. Leveraging the power of deep learning, the system utilizes Python as the programming language, TensorFlow/keras as the deep learning framework, and Visual studio code as the integrated development environment (IDE). This system employs a convolutional neural network (CNN) architecture to extract facial features from images, which are then used to train machine learning models to predict age and gender. This project demonstrates the effectiveness of using facial recognition technology for age and gender prediction, highlighting its potential applications in various fields, including security, marketing and healthcare.
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