International Journal on Science and Technology

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Intelligent Academic Assistant: An Agentic RAG Framework for QA from Notes and Syllabi

Author(s) Yash Anil Vaykar, Dr. MADHAVI CHAUDAHRI
Country India
Abstract This project presents an Intelligent Academic Assistant: An
Agentic RAG Framework for QA from Notes and Syllabi designed to provide
accurate syllabus-aligned answers using student’s personal notes and curriculum content. The system allows students to ask questions or upload question papers, and it
autonomously extracts relevant content, retrieves semantically similar passages, and generates precise answers using a large language model.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-01
DOI https://doi.org/10.71097/IJSAT.v16.i2.5300
Short DOI https://doi.org/g9m29j
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