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  Published Paper Details:

  Paper Title

A Smart Approach To Project Management: Automating Workflows With AIML

  Authors

  Mrs. Sampada Kulkarni,  Akshata Vishal Dongaonkar,  Om Santosh Auti,  Omkar Rajesh Adke

  Keywords

Project automation, AI/ML, task assignment, workflow creation, progress tracking, transparency, productivity, real-time communication.

  Abstract


In today's dynamic work environments, the management of complex projects involving diverse stakeholders--employees, managers, and clients--presents considerable challenges. Traditional project management tools often exhibit limitations in real-time adaptability, intelligent task prioritization, and seamless transparency. These deficiencies lead to inefficiencies, communication breakdowns, and project delays. Additionally, the inability to effectively automate workflows exacerbates issues such as bottlenecks, missed deadlines, and employee burnout. This paper addresses the need for a more sophisticated project management solution that incorporates artificial intelligence (AI) and machine learning (ML) technologies. By integrating AI/ML, the proposed system aims to enhance real-time decision-making, automate task assignments based on priority, and foster greater transparency and collaboration among all stakeholders.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2411857

  Paper ID - 272149

  Page Number(s) - h736-h742

  Pubished in - Volume 12 | Issue 11 | November 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mrs. Sampada Kulkarni,  Akshata Vishal Dongaonkar,  Om Santosh Auti,  Omkar Rajesh Adke,   "A Smart Approach To Project Management: Automating Workflows With AIML", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 11, pp.h736-h742, November 2024, Available at :http://www.ijcrt.org/papers/IJCRT2411857.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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