Advanced Collaboration and Project Management Platform

Year : 2025 | Volume : 12 | Issue : 02 | Page : 11 18
    By

    Shreyash Bhoir,

  • Avishkar Chavan,

  • Sakshi Peke,

  • Anisha Vachkal,

  • Dnyanoba Chitre,

  1. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Kumbhivli, Maharashtra, India
  2. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Kumbhivli, Maharashtra, India
  3. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Kumbhivli, Maharashtra, India
  4. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Kumbhivli, Maharashtra, India
  5. Professor, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Kumbhivli, Maharashtra, India

Abstract

The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API solutions work in project tracking, resource allocation, and decision-making with the use of real- time data analytics, AI-driven automation, and smooth third-party integration. To make this platform accessible and scalable, a variety of features may be built into it, including automated task assignment, instant messaging, and performance analytics. The platform may enhance task prioritization and optimum user workload distribution using AI-based algorithms, allowing project timelines to be improved and bottlenecks reduced. APIs also make them interconnected and work seamlessly to collaborate by syncing information with cloud storage, scheduling apps, and Customer relationship management (CRMs) in real-time. The empirical tests performed in this study reflect that API based project management enhances teamwork, reduces roadblocks, and organizes task execution. Organizations using this platform mention improved collaboration, faster decision-making, and better utilization of resources. However, API rate limits, data-loss concerns, and concerns over security and scalability are still problems in existence. This research studies the limitation issues and proffers machine learning-driven enhancements to curb such challenges in future implementations. With the addition of predictive analytics and intelligent automation features, future iterations of this platform will continue optimizing resource management, adorn security protocols, and furnish real-time resolutions for dynamic workplace requirements.

Keywords: Real-time API integration, project management, collaboration tools, task automation, real-time analytics, machine learning, workflow optimization, third-party API integration, team communication, data security

[This article belongs to Journal of Web Engineering & Technology ]

How to cite this article:
Shreyash Bhoir, Avishkar Chavan, Sakshi Peke, Anisha Vachkal, Dnyanoba Chitre. Advanced Collaboration and Project Management Platform. Journal of Web Engineering & Technology. 2025; 12(02):11-18.
How to cite this URL:
Shreyash Bhoir, Avishkar Chavan, Sakshi Peke, Anisha Vachkal, Dnyanoba Chitre. Advanced Collaboration and Project Management Platform. Journal of Web Engineering & Technology. 2025; 12(02):11-18. Available from: https://journals.stmjournals.com/jowet/article=2025/view=208439


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 09/02/2025
Accepted 03/04/2025
Published 19/04/2025
Publication Time 69 Days
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