Intelligent Project Management: Leveraging Ai/Ml for Workflow Optimization
Mrs. Sampada Kulkarni,
Akshata Dongaonkar,
Om Auti and
Omkar Adke
Additional contact information
Mrs. Sampada Kulkarni: P.E.S Modern College of Engineering Pune,India
Akshata Dongaonkar: P.E.S Modern College of Engineering Pune,India
Om Auti: P.E.S Modern College of Engineering Pune,India
Omkar Adke: P.E.S Modern College of Engineering Pune,India
International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 4, 852-857
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.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.ijltemas.in/DigitalLibrary/Vol.14Issue4/852-857.pdf (application/pdf)
https://www.ijltemas.in/papers/volume-14-issue-4/852-857.html (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bjb:journl:v:14:y:2025:i:4:p:852-857
Access Statistics for this article
International Journal of Latest Technology in Engineering, Management & Applied Science is currently edited by Dr. Pawan Verma
More articles in International Journal of Latest Technology in Engineering, Management & Applied Science from International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Bibliographic data for series maintained by Dr. Pawan Verma ().