AI-based chatbot

Abstract

Over the years, Artificial Intelligence (AI) chatbots have evolved significantly, moving from basic rule-based systems to more advanced natural language processing models capable of handling complex queries and generating human-like speech. However, despite these advancements, there are still limitations, such as hallucinations and lack of consistency. The goal of this project is to bridge the gap between existing AI chatbot capabilities and the specific needs of educational content delivery, offering a solution that promotes both effective learning and engagement. This project focuses on the development of an AI-powered chatbot designed to generate contextually relevant quizzes from lecture slides. By integrating modern machine learning techniques like Retrieval-Augmented Generation (RAG), the chatbot efficiently processes and retrieves lecture content to create personalized quizzes that align with the specific module and topic selected by the user. The chatbot aims to improve student learning by offering accessible, on-demand quizzes, fostering engagement and reinforcing understanding of key concepts.