Synthesis of BPMN Models from Text Specification Using GPT Model

The latest developments in business process modeling and natural language processing open up new evenues for dynamic text analysis.It scrutinizes the existing methodologies and instruments associated with Business Process Model and Notation (BPMN).We introduce a novel software tool that leverages an advanced GPT model to interpret and convert unstructured textual narratives of business processes into their corresponding BPMN visual diagrams.The paper expounds on the implementation tactics and the selection of technologies, with a particular emphasis on the elevated capabilities of the GPT model to parse structured text.The tool's effectiveness in transforming textual process descriptions into visual BPMN models is analyzed, offering a significant contribution to the automation of business process documentation.