DIP AI-Driven Architecture for Enhanced Project Management Using Large Language Models

The integration of Large Language Models (LLMs), such as GPT-4, Claude, and Gemini AI, into project management systems has revolutionized how tasks are automated, tracked, and optimized. This paper presents a comparative analysis of LLMs in the context of project management, evaluating their performance in scheduling, resource allocation, and decision support. By leveraging both primary data from real-world simulations and secondary data from literature, the study highlights GPT-4’s superior accuracy, task completion speed, and scalability over other models. The findings suggest that AI-based systems can enhance efficiency and reduce human error in complex project management workflows.