VISUAL CONTENT OPTIMIZATION SYSTEM USING ARTIFICIAL INTELLIGENCE (AI) BASED DESIGN GENERATION AND VALIDATION

摘要

A system for providing visual content optimization is disclosed. The system may comprise a data access interface, a processor, and an output interface. The data access interface may receive data associated with a design or graphical layout from a data source, and receive priority parameters. The processor may identify a plurality of discrete design elements from the design or graphical layout. The processor may create a new design or graphical layout based on the plurality of discrete design elements and on priority parameters. The processor may also evaluate the new design or graphical layout based on an evaluation technique. In some examples, the evaluation technique may include a visual attention prediction subsystem to determine the most visually appealing design using artificial intelligence (AI) or machine learning. The processor may also select the new design or graphical layout based on a selection technique. The output interface may transmit, to a user device, the new design or graphical layout to a user device or a publishable medium.