Authors - Sohesh Gandhe, Aditya Shirwalkar, Prathmesh Jomde, Shreyash Dhavale, Anil M. Bhadgale Abstract - Automatically generating Unified Modeling Language (UML) diagrams from unstructured software requirements remains one of the persistent challenges in modern software engineering. This paper introduces an intelligent project management framework that transforms client-provided requirement documents into accurate UML diagrams with minimal human intervention. Our system leverages Optical Character Recognition (OCR) to extract text from various document formats, employs a fine-tuned model for intelligent prompt synthesis, and utilizes a fine-tuned CodeLLaMA 7B model trained on prompt-to-MermaidJS code mappings. The generated diagrams—including sequence diagrams, flow charts, and Gantt charts—are rendered in real time through an integrated Mermaid Live Editor, providing immediate visual feedback within the project management interface. The experimental evaluation demonstrates substantial improvements in automation efficiency, reduced manual modeling effort, and improved consistency in UML generation. Our approach bridges the gap between natural language requirements and formal system design artifacts, offering a practical solution for automated software documentation and project planning at scale.
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