
Contributed to the DrAlzahraniProjects/csusb_fall2024_cse6550_team4 repository by developing and enhancing chatbot performance analytics, feedback tracking, and retrieval-augmented generation features over a two-month period. Leveraged Python, Streamlit, and SQL to implement performance metrics, confusion matrices, and robust data collection, enabling detailed monitoring of chatbot accuracy and user satisfaction. Improved the knowledge base for broader question coverage and refined unanswerable response handling by integrating research paper links. Enhanced infrastructure through Dockerfile optimizations, environment variable management, and comprehensive code documentation, resulting in improved deployment reliability and maintainability. Focus remained on backend development, data analysis, and full stack integration throughout.
November 2024 monthly summary for DrAlzahraniProjects/csusb_fall2024_cse6550_team4. Focused on delivering feature improvements for performance monitoring, retrieval, and knowledge base robustness, along with infrastructure and documentation enhancements to improve reliability, security, and maintainability.
November 2024 monthly summary for DrAlzahraniProjects/csusb_fall2024_cse6550_team4. Focused on delivering feature improvements for performance monitoring, retrieval, and knowledge base robustness, along with infrastructure and documentation enhancements to improve reliability, security, and maintainability.
October 2024 monthly summary for DrAlzahraniProjects/csusb_fall2024_cse6550_team4. Delivered enhanced Chatbot Performance Statistics and Feedback Tracking with a dedicated sidebar, refined data collection, and response handling improvements. This work increases visibility into chatbot effectiveness, accuracy, and user satisfaction, enabling data-driven optimization in upcoming sprints.
October 2024 monthly summary for DrAlzahraniProjects/csusb_fall2024_cse6550_team4. Delivered enhanced Chatbot Performance Statistics and Feedback Tracking with a dedicated sidebar, refined data collection, and response handling improvements. This work increases visibility into chatbot effectiveness, accuracy, and user satisfaction, enabling data-driven optimization in upcoming sprints.

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