Robotic Framework for Requirement Management, Estimations and Project Proposals
DOI:
https://doi.org/10.47392/IRJAEH.2024.0274Keywords:
Machine Learning, Random Forest, Document Frequency, Term Frequency InverseAbstract
In today's rapidly evolving technological landscape, the successful execution of software projects relies on effective requirement management, accurate estimations, and persuasive project proposals. This research paper introduces an innovative robotic framework designed to enhance and optimize important aspects of project development and planning. The Robotic Framework enhances project management by reducing human error, increasing efficiency, and ensuring that all project elements align with industry standards and best practices. It learns from past projects and adapt to changing requirements makes it an invaluable asset for software development teams, fostering collaboration and improving project success rates.
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