The future of education lies in personalized and scalable solutions, especially in fields like computer engineering where complex concepts often challenge students. This talk introduces Lumina (AI Teaching Assistant), a cutting-edge agentic system designed to revolutionize programming education through its innovative architecture and teaching strategies. Built using OpenAI API, LangChain, RAG, and ChromaDB, Lumina employs an agentic, multi-modal framework that dynamically integrates course materials, technical documentation, and pedagogical strategies into an adaptive knowledge-driven system. Its unique "Knowledge Components" approach decomposes programming concepts into interconnected teachable units, enabling proficiency-based learning and dynamic problem-solving guidance.
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Speaker
Nittin Murthi Dhekshinamoorthy
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Computer engineering student and researcher
University of Illinois Urbana-Champaign
Nittin Murthi Dhekshinamoorthy is a computer engineering student and researcher at the University of Illinois at Urbana-Champaign. His work focuses on advancing artificial intelligence to address real-world challenges in education and technology, including developing an AI agent-based Teaching Assistant for scalable, adaptive learning. He has contributed to projects such as natural language-to-SQL systems and deep learning models for clinical image segmentation.
Bio from: Jan 30 - AI, Machine Learning and Computer Vision Meetup
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