AdalTZH/KWSH

AI Chatbot for Kwong Wai Shiu Hospital Community Training Institute # Kwong Wai Shiu Hospital Community Training Institute Artificial Intelligence Chatbot ## Introduction This project addresses the issue of visitors receiving delayed responses to their inquiries on the Kwong Wai Shiu Hospital (KWSH) Community Training Institute (CTI) website. By developing a Generative AI Chatbot, we aim to eliminate the need for human intervention for common questions while maintaining high visitor satisfaction, reducing labor costs, and streamlining the team's workload. The chatbot will automatically address visitor inquiries and, for complex issues, route them to the relevant contact rather than generic contact details. Despite having no budget and limited resources, the project implements Large Language Models (LLMs), Live Chat Redirection, a User-Friendly Chatbot GUI, and an Admin Interface to provide an efficient solution. ### Key Results A functional generative AI chatbot with a user-friendly interface. Features like live chat redirection and admin capabilities for CRUD operations and performance monitoring. Ensures scalability for future enhancements. Project Specification and Plan System Description and Purpose The current KWSH CTI website provides email and phone contacts for inquiries, which may result in delayed responses due to manpower shortages. This chatbot will: Automatically address visitors’ inquiries. Route complex issues to the relevant staff contacts. Enable live chat functionality for complex scenarios. Project Motivation To enhance the responsiveness and efficiency of the KWSH CTI team in handling visitor inquiries. ### Project Benefits Faster response times. Reduced workload for the team. Effective routing of complex inquiries to relevant staff. Improved visitor satisfaction through quick and accurate responses. Project Scope Develop a chatbot that: Responds to common inquiries. Refers visitors to relevant web pages or contact details. Routes complex inquiries to staff. Supports live chat for complex issues. ## Functi …