AI-Powered Dynamic Banner Generation

This paper presents an AI-powered approach for generating dynamic, visually engaging promotional banners. The system adapts content in real-time to match user preferences and browsing behaviors, aiming to improve engagement and conversion rates. By leveraging machine learning algorithms, the banner generator personalizes images, colors, and text to suit targeted audiences. Initial results indicate a marked improvement in user interaction and engagement when compared to traditional, static banners. Future work will involve optimizing banner design elements and expanding the system's adaptability to more diverse audience segments. Keywords - Artificial Intelligence (AI), Machine Learning (ML), Click-Through Rate (CTR), Content Delivery Network (CDN), Amazon Web Services (AWS), General Data Protection Regulation (GDPR), Neural Network (NN), User Interaction (UI)