zofiQ, Inc is seeking to enhance its existing AI triage bot to improve the classification accuracy of IT tickets. The current system struggles with accurately categorizing company names, boards, ticket types, and subtypes, leading to inefficiencies in ticket resolution. The goal of this project is to refine the AI model to ensure precise classification, thereby streamlining the IT support process. Learners will apply their knowledge of machine learning and natural language processing to analyze the current system, identify areas for improvement, and implement solutions. The project will involve tasks such as data analysis, model training, and testing to achieve a more reliable classification system. By the end of the project, the team will have contributed to a more efficient IT support workflow at zofiQ, Inc.

The deliverables for this project include a detailed report outlining the analysis of the current AI system and proposed improvements. Additionally, the team will deliver an updated AI model with enhanced classification capabilities. A presentation summarizing the project findings and demonstrating the improved system will also be required. The deliverables aim to provide zofiQ, Inc with a refined AI triage bot that improves ticket classification accuracy and efficiency.