StudentEase: An AI-Powered College Helpdesk Chatbot

Students frequently struggle to access important academic information on the existing college website. Navigating a standard college website to acquire key academic information can take time, especially during exam periods when students struggle to find facts such as faculty profiles, class calendars, and exam dates. To address these issues, our project introduces StudentEase, an AI-powered interactive chatbot that functions as a virtual assistant for students. The chatbot, which uses Natural Language Processing (NLP) and machine learning models such as Sentence Transformer and Ollama, allows users to easily acquire college-related information via conversational inquiries. Sentence Transformer enables the bot to comprehend and match the user's intent with the most relevant material from the database by encoding user queries and applicable content into high-dimensional embeddings. A natural, context-aware answer is then produced by an AI model called Ollama, making the experience effective and intuitive. By providing an intelligent, conversational interface, removing time-consuming searches, and expediting access to academic information, this solution improves the student experience. By increasing accessibility and cutting down on time spent on administrative duties, StudentEase seeks to transform the way students engage with their college's academic data. KEYWORDS: AI chatbot, SentenceTransformer, Ollama, academic information, natural language processing, student assistant, college data, interactive interface, efficiency.