Projects supported by Funding Scheme for student projects/activities by Tam Wing Fan Innovation Fund and Philomathia Foundation Innovation Fund
Supervisor: Prof. Ray Y. ZHONG (Department of Industrial and Manufacturing Systems Engineering)
Our approach involves leveraging the power of a language model, specifically the LLM (Large Language Model), to interpret and understand verbal commands. We tuned the LLM on a dataset of 3D printing-related instructions and implemented a robust natural language processing system to accurately recognize and execute user commands, ensuring seamless interaction with the 3D printer.
Through rigorous testing and evaluation, we achieved impressive results with our LLM-powered chat-based UI for the 3D printer. The system accurately interpreted and executed a wide range of voice and keyboard commands, demonstrating its reliability and responsiveness. Users experienced a streamlined and intuitive control experience, enhancing their overall satisfaction and productivity.
Project leader: LAM Chun Ho Enrico, BNurs
Team member(s): CHAN Tsz Yung Frederick, BSocSc
This project team was selected for the Inno Show award at the 6th Inno Show.
This team has received HK$20,000 sponsorship to participate in international design competition(s) and consumables expenses to support further development of the project.
This project team received the highest number of votes from participants as the Best Project in the 9th Inno Show and was awarded the Super “GOOD JOB!” Project Award.
