A Novel Approach to Real-Time Advertising Content Creation for Smart Displays via Generative AI

The rapid digitalization of advertising presents significant time and cost barriers for Small and Medium-sized Enterprises (SMEs) in content creation. This research develops and validates an innovative system that automates advertising content generation for digital signage using generative AI, aiming to streamline the design process, reduce costs, and enhance accessibility for non-designers. The proposed system comprises a foldable smart LED display, 'Modul Fold', and a cloud-based software platform. Its core is an AI processing layer with a text-to-image model using Python, TensorFlow, and the OpenAI API. The methodology involves a user interface for inputting text prompts. The AI model processes these prompts to generate optimized visual content, which is then deployed and managed in real-time on the display device via a remote web dashboard. The system's performance is planned for future evaluation through a comparative analysis of time efficiency against traditional design methods and the collection of user feedback. The initial system prototype has been developed, featuring the core functionality of generating ad drafts from text prompts. It serves as a foundation for subsequent empirical testing and commercialization. This study implies that leveraging generative AI can democratize digital advertising, offering a powerful, cost-effective tool for SMEs. Future research will focus on expanding its capabilities to include automated video generation and a real-time analytics engine for performance optimization.