Design and Development of an AI-Powered Smart Study Assistant Application for Students

The rapid advancement of artificial intelligence (AI) technologies has opened new avenues for transforming traditional education systems. This paper presents the design and development of an AI-Powered Smart Study Assistant—a web-based application that leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to assist undergraduate students in their academic activities. The system offers key features including intelligent document summarization, an interactive question-answering chatbot, AI-generated quiz creation, and a personalized study schedule planner. Built using React.js for the frontend, Node.js for the backend, and integrated with OpenAI’s API, the application was evaluated through usability testing with 50 undergraduate students. Results indicate a significant improvement in study efficiency, comprehension, and user engagement. The paper discusses the system architecture, implementation details, experimental results, limitations, and future directions.