DIZEST: A low-code platform for workflow-driven artificial intelligence and data analysis

While artificial intelligence (AI) and data science offer unprecedented potential, technology entry barriers often hinder widespread adoption and limit the rapid development of tailored applications. Existing low-code development platforms (LCDPs) partially address these challenges, but frequently lack the capabilities needed for complex AI and data analysis workflows. To this end, this paper presents DIZEST, a novel LCDP designed to accelerate AI application development and enhance data analysis for code-free workflow construction, while simultaneously providing professional developers with advanced customization functionalities. In particular, a reusable node-based architecture enables efficient development so that resultant applications are scalable, high-performing, and portable across diverse deployments.