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@article{201145,
        author = {Sukruth MS and Spoorthi SV},
        title = {AN INTELLIGENT CLOUD-NATIVE FRAMEWORK FOR SMART CLASSROOM MANAGEMENT USING AGENTIC AI AND LLMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {12568-12573},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201145},
        abstract = {The modern education system faces challenges in hybrid and digital learning, where teachers are overloaded with ad-ministrative tasks and students lack personalized, real-time support. This project proposes “An Intelligent Cloud-Native Framework for Smart Classroom Management”, an AI-powered platform designed to enhance learning and reduce educator workload. It features a Streamlit frontend and FastAPI backend, powered by a multi-agent system using LangChain, Groq API, and Llama 3.3-70B. Five AI agents handle notes, doubts, quizzes, summaries, and engagement. To ensure accuracy, a Retrieval-Augmented Generation (RAG) pipeline with FAISS is used, along with SQLite for conversation memory. The system is containerized using Docker for scalable deployment, delivering a reliable and efficient smart classroom solution.},
        keywords = {Agentic AI, Large Language Models (LLMs), Smart Classroom, Multi-agent Systems, Retrieval-Augmented Generation (RAG), Cloud-native Architecture.},
        month = {May},
        }