AI-Integrated Project Management System: A Multi-Tenant Platform for Intelligent Project Monitoring and Task Coordination

Abstract

Effective project management requires coordinated handling of projects, team members, task assignments, deadlines, priorities, and progress information. This paper presents an AI-Integrated Project Management System, a web-based application developed to support project planning, task coordination, progress monitoring, and AI-assisted project interaction within an organization. The system follows a multi-tenant architecture in which users and project data are scoped using an organization identifier. Role-Based Access Control is implemented through two principal roles: Admin and Team Member. Administrators can manage projects, tasks, and team members, while team members can access project information and update the status of tasks assigned to them. The application is implemented using the MERN stack, comprising React with Vite for the frontend, Node.js and Express.js for backend services, and MongoDB with Mongoose for data persistence. JSON Web Tokens are used for authentication. AI functionality is integrated through the OpenAI API using GPT-3.5 Turbo for project summarization, contextual project assistance, and extraction of actionable tasks from meeting notes. No custom machine learning model is trained as part of the implemented system. The implementation demonstrates an application-oriented approach to combining conventional project management functionality with generative AI capabilities