An AI-powered intelligent university helpdesk web application orchestrates multilingual student support through three sequential phases: authentication, query processing with RAG-powered AI response, and sentiment-driven feedback loops. Students interact via a web client that routes through an Auth Service, API Server, and AI/RAG Module, with NLP Engine and Sentiment analysis enriching responses before Notification delivery. This architecture demonstrates how to integrate authentication, intelligent query resolution, and real-time sentiment monitoring to deliver responsive, context-aware student support at scale. Fork this diagram on Diagrams.so to customize authentication flows, swap AI backends, or extend notification channels for your institution. The modular three-phase design enables independent scaling of auth, inference, and feedback components.