ProjecTree: An AI Powered intelligent Project Management System
Year: 2025
Type: article
Abstract: To ensure projects are completed on schedule, resources are used efficiently, and teams work together smoothly, strong project management is essential. However, the intricacy of today's projects, which involve many different tasks, dependencies, and teams, frequently leads to inefficiency, delays, and poor coordination. ProjectTree is a cutting-edge, AI-powered project management system created to tackle these issues. By using Natural Language Processing (NLP), the platform analyzes project details to sort tasks into frontend, backend, and database categories, and intelligently assigns them to employees based on their skills, experience, and availability. This smart resource allocation maximizes resource utilization and reduces bottlenecks. ProjectTree also includes a real-time communication tool to improve team interaction and uses role-based access control (RBAC) to limit user access to only the necessary resources and tasks, thereby improving security and data integrity. To protect sensitive project data, the system also incorporates strong security measures. This paper details the design, structure, and implementation of ProjectTree, comparing it to current project management tools, and showing how it can improve task assignment, team coordination, and overall productivity. The results show the system's ability to lessen project delays, improve decision-making, and offer a secure, collaborative environment for modern businesses.
DOI: 10.62019/49nnpe97
Authors: Umar Farooq, Farooq Ali, Moniba Iqbal, Asif Raza, Altaf Khan, Ali Raza
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415177397
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