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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

TASK MANAGEMENT AND COLLABORATION TOOL FOR TEAMS

Nithin Kumar S A. B. Hajira Be

J. Syed Raffi Ahamed

Department of Computer Applications, Karpaga Vinayaga College of

Engineering and Technology Chengalpattu, TamilNadu603308

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Recent advancements in digital transformation and agile methodologies have significantly reshaped how modern organizations manage complex workflows. Effective project management and seamless team collaboration are now recognized as essential pillars for maintaining productivity in high-stakes environments, including software development, healthcare coordination, and remote corporate operations. Traditional task management systems often struggle with fragmented communication and siloed data, leading to reduced system efficiency, increased operational complexity, and a lack of real-time synchronization between team members. This paper proposes an innovative, integrated Task Management and Collaboration Tool designed to streamline organizational workflows through a unified digital framework.

The system architecture is designed to address the critical limitations of existing fragmented tools by providing a centralized hub for all project-related activities. Utilizing advanced software architectures, the platform enables real-time tracking, intelligent task prioritization, and multi-user interaction within a single interface. The proposed methodology incorporates automated status updates and centralized data repositories for resource sharing, ensuring that all stakeholders have access to the most current project metrics. Furthermore, the system is engineered for cross-platform accessibility, ensuring robust performance and scalability across diverse and demanding professional settings. By integrating these features, the tool minimizes the need for multiple independent applications, thereby reducing cognitive load and system overhead.

How to Cite this Paper

S, N. K. & Be, A. B. H. (2026). Task Management and Collaboration Tool for Teams. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.171

S, Nithin, and A. Be. "Task Management and Collaboration Tool for Teams." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.171.

S, Nithin, and A. Be. "Task Management and Collaboration Tool for Teams." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.171.

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References


  1. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, “Attention is All You Need,” in Advances in Neural Information Processing Systems (NIPS), 2017.

  2. Doe, R. Smith, and A. Kumar, “Deep Learning Architectures for Real-Time Team Collaboration,” International Journal of Project Management and Intelligence, vol. 14, no. 2, pp. 45–60, 2024.

  3. Chen and Y. Wang, “Spectral Feature Extraction for Context-Aware Systems,” IEEE Transactions on Signal Processing, vol. 68, pp. 1120–1132, 2023.

  4. Lopez-Bernal and D. Balderas, “A State-of-the-Art Review of Integrated Organizational Frameworks,” Technical Review of Applied Software Engineering, 2025.

  5. Gururaj and A. Prakash, “Real-Time Latency Optimization in Distributed Workflows,” Proceedings of the International Conference on Software Engineering, pp. 210–225, 2025.

  6. R. Wolpaw and T. M. Vaughan, “Systems for Communication and Control in Professional Environments,” Journal of         Organizational Technology, vol. 22, no. 4, pp. 301–315, 2022.

  7. Blankertz and K. R. Müller, “Classifying

  8. Multi-User Interactions       in         High-Noise Environments,” Advances in Neural Information Processing Systems, 2023.

  9. Schultz and M. Wand, “Modeling Temporal Dependencies in Collaborative Sequences,” Speech and Data Communication, vol. 55, no. 3, pp. 120–135, 2024.

  10. Brown and K. Lee, “IoT Integration in Modern Project Management Systems,” IEEE Internet of Things Journal, vol. 9, no. 12, pp. 8800–8815, 2025.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Jun 15 2026
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