Accelerate Learning with AI Powered Quiz Master Using Llama LLM

Multiple-choice questions quizzes provide an interactive and engaging way to assess students' understanding and reinforce learning, but their manual creation can be time-consuming and labor-intensive for educators. The emergence of Large Language Models (LLMs) offers a transformative solution by enabling automated MCQ generation, correction, and personalized feedback. LLMs, with their advanced natural language understanding and generation capabilities, facilitate the creation of diverse and adaptive MCQ quizzes that cater to various learning objectives and difficulty levels. This paper introduces Quiz Master, an AI-powered platform for automated MCQ quiz generation, correction, and feedback, developed using open-source tools such as Meta Llama, Ollama, LangChain, and Streamlit. Quiz Master delivers an engaging and personalized learning experience, allowing students to actively participate in quizzes while receiving instant, adaptive feedback. By optimizing quiz creation and reducing educator workload, Quiz Master demonstrates the potential of LLMs to enhance educational practices, making learning more enjoyable, interactive, and effective.