Ergonomic Integrated Management System for 3D Printers @ 9th Inno Show

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)

Project information

Project descriptions

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.

Project innovation

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.


Team information

Project leader: LAM Chun Ho Enrico, BNurs

Team member(s): CHAN Tsz Yung Frederick, BSocSc

Project poster
Project video
Project images

Winner of the Inno Show Award @ The 6th Inno Show

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.

Winner of the Super "GOOD JOB!" Project Award @ The 9th Inno Show

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.

Inno Show 9 winner
Ergonomic Integrated Management System for 3D Printers won the Super "GOOD JOB!" Project Award
Media links
Email (NestSpace)

Photos in the Engineering Inno Show