Comprehensive Model of Facial Detection for Gender-Based Targeted Advertising Using Deep Learning

Abstract

Facial Detection for Gender-Based Targeted Advertising focuses on the development and implementation of an AI-based system for facial detection and gender classification. Leveraging machine learning techniques, a model is trained to detect faces and determine gender from captured images or video streams. The primary goal is to integrate this model into an advertising system, enabling real-time targeted ad display based on the identified gender of individuals. The project aims to explore the effectiveness of personalized advertising through facial recognition technology while considering ethical implications and potential advancements in marketing strategies.