Intelligent Project Management: Leveraging Ai/Ml for Workflow Optimization
Authors
Mrs. Sampada Kulkarni
P.E.S Modern College of Engineering Pune,India (IN)
Akshata Dongaonkar
P.E.S Modern College of Engineering Pune,India (IN)
Om Auti
P.E.S Modern College of Engineering Pune,India (IN)
Omkar Adke
P.E.S Modern College of Engineering Pune,India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.140400102
Subject Category: Artificial Intelligence, Machine Learning, Project Management, Workflow Automation
Volume/Issue: 14/4 | Page No: 852-857
Publication Timeline
Submitted: 2025-05-18
Published: 2025-05-18
Abstract
Abstract: Traditional project management processes are susceptible to manual intervention, leading to inefficiencies, delays, and transparency loopholes. This research proposes an AI and ML-enabled intelligent project management system that automates processes, optimizes resource utilization, and ensures real-time monitoring and client interaction. The system uses supervised ML models and heuristic algorithms for intelligent task allocation, actionable insights, and transparency between the stakeholders. With the integration of a visually interactive dashboard, Gantt charts, and NLP-enabled feedback loops, the system improves collaboration and operational effectiveness.
Keywords
Workflow Automation, Artificial Intelligence, Machine Learning, Smart Dashboards, Task Allocation, NLP, Predictive Analytics
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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References
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