FlowTrack: An AI-Driven Project Management Platform with Immersive User Interface

Authors

  • Prof. Sunil Sable ComputerScienceEngineering (AI), Vishwakarma InstituteofTechnology,Pune,India Author
  • Urvi Sawalkar ComputerScienceEngineering (AI), Vishwakarma InstituteofTechnology,Pune,India Author
  • Chinmay Tidke ComputerScienceEngineering (AI), Vishwakarma InstituteofTechnology,Pune,India Author
  • Vedant Zope ComputerScienceEngineering (AI), Vishwakarma InstituteofTechnology,Pune,India Author
  • Yash Sitafale ComputerScienceEngineering (AI), Vishwakarma InstituteofTechnology,Pune,India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0591

Keywords:

Project Management, Artificial Intelligence, Next.js, User Interface, Web Application, React, Three.js

Abstract

In the modern software development lifecycle, effi-cient project management is critical for success. Traditional tools often suffer from information overload, complex navigation, and a lack of intelligent insights, leading to decreased productivity. This paper introduces FlowTrack, a next-generation project management platform designed to address these challenges. FlowTrack leverages Artificial Intelligence (AI) to provide ac-tionable insights and automate routine tasks, while offering an immersive, aesthetically pleasing user interface built with modern web technologies. The platform aims to reduce cognitive load through an intuitive visual workspace and introduce AI-driven automation that significantly minimizes manual overhead. This paper details the system architecture, key features, and technical implementation strategy of FlowTrack, demonstrating how it bridges the gap between powerful functionality and user-centric design while maintaining scalability and performance. The study also highlights the importance of real-time collaboration, pre-dictive analytics, and workflow automation in modern project environments.

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Published

2026-06-27

How to Cite

FlowTrack: An AI-Driven Project Management Platform with Immersive User Interface. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(06), 4510-4515. https://doi.org/10.47392/IRJAEH.2026.0591