
Worked on enhancing the chatbot evaluation interface for the DrAlzahraniProjects/csusb_fall2024_cse6550_team3 repository, focusing on both user experience and backend reliability. Improved the Streamlit frontend by refining feedback messaging, updating the confusion matrix display, and clarifying performance indicators, all supported by targeted CSS styling for better visual clarity. Addressed key issues in metric computation by correcting false positive and true negative calculations within the statistics module, ensuring more accurate and robust reporting. Aligned frontend metrics with backend logic to reduce ambiguity in model evaluation, leveraging Python for backend development and data analysis to support clearer, more maintainable performance insights.
For November 2024, delivered user-facing improvements to chatbot evaluation UI and fixed key metric computation issues, resulting in clearer performance visibility and more reliable reporting for csusb_fall2024_cse6550_team3 (DrAlzahraniProjects/csusb_fall2024_cse6550_team3).
For November 2024, delivered user-facing improvements to chatbot evaluation UI and fixed key metric computation issues, resulting in clearer performance visibility and more reliable reporting for csusb_fall2024_cse6550_team3 (DrAlzahraniProjects/csusb_fall2024_cse6550_team3).

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