Enhance Project Management System using Machine Learning

Authors: Rajan Salunkhe, Nilesh Kasar, Sujal Bainade, Vishal Pawar

Country: India

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Abstract: Academic integrity is in focus in today's educational environment, and maintaining academic integrity is of paramount importance. Plagiarism and repetition of research topics can undermine the authenticity of academic work. Empowering Students To address this challenge, we introduce the "Enhance Project Management System using Machine Learning", a cutting-edge machine learning-based system that empowers students to uphold academic honesty and originality in their research projects. This tool provides a seamless user experience. Students log in and input essential project information, including topic, abstract, methodology, objectives, and conclusion. Leveraging a sophisticated algorithm and a vast dataset of academic materials, the system then computes a matching percentage, allowing students to gauge the uniqueness of their work and make informed decisions to enhance the originality of their projects.

Keywords: Educational Environment, Machine Learning, Sales Strategies, Project Repetition

Paper Id: 230345

Published On: 2023-11-03

Published In: Volume 11, Issue 6, November-December 2023

Cite This: Enhance Project Management System using Machine Learning - Rajan Salunkhe, Nilesh Kasar, Sujal Bainade, Vishal Pawar - IJIRMPS Volume 11, Issue 6, November-December 2023.

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