Year: 2025
Type: article
Abstract: This project presents a gender detection system using Convolutional Neural Networks (CNN), Python, Keras, and OpenCV. The system employs OpenCV for face detection, alignment, and preprocessing, while a CNN model built with Keras is used for feature extraction and gender classification. Trained on a diverse dataset, the model achieves high accuracy and realtime performance, making it suitable for applications like surveillance, marketing, and human-computer interaction. The integration of deep learning and computer vision techniques ensures robust and efficient gender detection, with the project providing a scalable solution for real-world deployment.
Author: Ms. Akshara P
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Gender equality
Open Access status: diamond
OpenAlex ID: W4408622469