University Honors

The advent of large language models (LLMs) has revolutionized various fields, yet theirapplication in generating educational modules for mechanical engineering still needs to beexplored. This study aims to bridge this gap by developing an automated system that utilizesLLMs to create comprehensive educational content for mechanical engineering students. Weemployed a combination of text and image inputs to generate modules, significantly reducing thecreation time from over an hour to just five minutes. The results demonstrate high accuracy andrelevance in the generated content, indicating the potential of LLMs to enhance the efficiencyand effectiveness of educational material development. Future work will focus on refining thesystem for broader applications and integrating feedback from educators to improve the modules'quality further.