Proj No. | A1049-251 |
Title | Development of a RAG-LLM Personal Math Tutor |
Summary | Summary The project aims to develop a chatbot specifically for the NTU math module IE2107 (Engineering Mathematics). The chatbot will cover the key topics of Linear Algebra, Complex Analysis, and Multivariable/Vector Calculus. The primary goal is to integrate Retrieval-Augmented Generation (RAG) with a Large Language Model (LLM) to deliver accurate, context-aware solutions and personalized learning guidance based on the course material. In addition to enhancing the learning experience, the system will employ prompt engineering techniques to ensure better LLM performance. A web interface will be developed to make this tool accessible to students. |
Supervisor | A/P Ling Keck Voon (Loc:S2 > S2 B2A > S2 B2A 22, Ext: +65 67905567) |
Co-Supervisor | - |
RI Co-Supervisor | - |
Lab | Computer Engineering II (Loc: S2-B3b-08) |
Single/Group: | Single |
Area: | Intelligent Systems and Control Engineering |
ISP/RI/SMP/SCP?: |