What question did this study set out to answer?

To develop an AI-driven project management tool that enhances task scheduling and predictive analytics using the MERN stack.

March 26, 2026Open Access

AI-Driven Project Management Tool Using MERN Stack for Intelligent Task Scheduling and Predictive Analytics

Puntos clave

To develop an AI-driven project management tool that enhances task scheduling and predictive analytics using the MERN stack.
Developed a system using MongoDB, Express.js, React.js, and Node.js.
Integrated machine learning techniques for task prioritization and deadline prediction.
Implemented features for task management, collaboration, and automated scheduling.
Conducted experimental comparisons with traditional project management tools.
Demonstrated improved performance in project efficiency compared to traditional tools.
Reduced manual intervention and enabled real-time decision-making.

Resumen

This paper presents an AI-driven project management tool developed using the MERN stack (MongoDB, Express.js, React.js, Node.js). The system integrates machine learning techniques for task prioritization, deadline prediction, and intelligent resource allocation. The proposed system improves project efficiency by reducing manual intervention and enabling real-time decision-making. It includes features such as task management, collaboration, predictive analytics, and automated scheduling. Experimental results demonstrate improved performance compared to traditional project management tools. The system is scalable, efficient, and suitable for modern software development environments.

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