Work

AI-Powered Dynamic Banner Generation

Year: 2025

Type: article

Abstract: 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)

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem42373

Authors: Dept. of CSE PESITM Shimoga, India [email protected], Ansh Sinha

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408405604

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