Published Paper Details:

This paper presents a dynamic education application developed using the LangChain LLM framework and LangGraph agent architecture to enhance personalized learning and educational management. The system integrates a context-aware conversational agent, built with LangGraph, enabling users to interact with educational content, manage resources, and receive tailored assistance. Core functionalities include automatic quiz generation based on user-provided titles or topics, class-wise report generation from SQL database records, and AI-powered report writing that leverages large language models for insights and recommendations. A centralized dashboard visualizes student performance data, supporting educators in tracking progress and identifying areas for improvement. Additionally, the platform offers a student management system for maintaining student records and managing learning resources such as quizzes and PDFs. By combining conversational AI with database-driven insights, the application provides an interactive, data-informed, and agent-based solution for modern educational environments.