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SmartDesk-IT-Support-Research is an advanced automated classification framework designed to revolutionize IT service desk operations through the integration of machine learning and natural language processing techniques. This research addresses the critical challenge of high-volume IT support ticket management by developing intelligent algorithms capable of accurately categorizing, prioritizing, and routing incoming support requests. The project repository and accompanying research artifacts provide a comprehensive, reproducible experimental pipeline—including synthetic benchmark datasets, baseline classification models (such as Naive Bayes and Logistic Regression), evaluation metrics, and detailed technical documentation—offering a scalable and efficient solution for modern automated IT infrastructure and intelligent enterprise support systems.
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Mohamed Hassan Ali Alamin (2026) studied this question.
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