AI-DRIVEN SMART PROJECT MANAGEMENT SYSTEM

Modern software development requires efficient project coordination, real-time collaboration, and intelligent decision-making. Traditional project management systems lack automation and predictive capabilities, leading to delays and inefficient resource utilization. This paper presents an AI-Driven Smart Project Management System (SPMS) that integrates modern web technologies with machine learning techniques to enhance productivity and project monitoring. The system is developed using Angular for frontend development, Spring Boot for backend services, MongoDB for data storage, and Python for AI-based analysis. It provides functionalities such as task management, role-based authentication, real-time progress tracking, workload analysis, and AI-based risk prediction. The proposed system enables users to monitor project performance, identify potential risks, and make data-driven decisions through intelligent insights and automated alerts. Experimental results demonstrate improved accuracy in risk prediction, enhanced task management efficiency, and better overall project tracking compared to traditional systems.