Every semester, university IT helpdesks are overwhelmed by repetitive queries from students — from course registration deadlines to tuition fees and campus services. Most existing systems either rely on outdated FAQs or rigid bots that can’t adapt to multiple languages or real-time updates. Recognizing this gap, we developed a smarter, multilingual chatbot using LLaMA2, AWS SageMaker, LangChain, and Milvus, built around a Retrieval-Augmented Generation (RAG) pipeline.
The Need for Smarter Campus Support
Higher education institutions face growing demands to modernize how students interact with campus services. Traditional IT support models don’t scale well — especially when students ask the same questions repeatedly. Even chatbots built on rule-based logic often fall short due to poor language handling, limited context awareness, and rigid workflows. By mid-semester, helpdesk queues are swamped, leading to delays and user frustration.