AI-Powered Project Management and Reporting System

AUTOMATION OF PMS REPORT IMPLEMENTATION USING AI/ML

ROFINA SERGIUS D

Guide: Prof. N. Sakthivel

DEPARTMENT OF MCA,

ADHIYAMAAN COLLEGE OF ENGINEERING, HOSUR.

Email Address: rofinasergius@gmail.com

Abstract

Project management is a critical aspect of any organization, requiring efficient tracking of tasks, milestones, and team collaboration. Traditional project management systems often lack automation in reporting and data analysis. This paper presents an AI-powered Project Management and Reporting System that integrates MySQL for structured data storage, utilizes the LLM for AI-based report generation, and employs Python-docx for professional document creation. The system automates the generation of structured reports, enhances project tracking, and facilitates efficient communication among stakeholders. This research explores the system’s architecture, implementation flow, technical stack, and benefits while addressing challenges and providing viable solutions for scalability and efficiency. The integration of asynchronous processing and modular architecture enhances scalability, making it suitable for organizations handling multiple projects simultaneously. Additionally, the system employs dependency injection to maintain flexibility, allowing seamless adaptation to evolving project management needs. This paper evaluates the system’s effectiveness in automating project documentation and tracking, ultimately contributing to more efficient and data-driven project management practices.

Keywords

AI-powered-project-management – automated-reporting – machine-learning – project-tracking – MySQL-database – NLP-based-report-generation – document-automation – software-architecture – scalability – asynchronous-processing – dependency-injection.

Domain

·       AI Agent

·       LLM