AI-driven automatic translation of blueprints into construction instructions
Project overview
Project title
AI empowers construction: AI-driven automatic translation of blueprints into construction instructions
Project description
This project develops AI models to address the critical gap in automated interpretation of blueprints in construction domain. The expected outcome is an AI system that translates complex blueprints into plain language actional construction instructions. The project outcome will reduce errors, delays and cost in construction industry, enhancing productivity, safety, and sustainability.
Supervisory team
University
| Name of university supervisor | Shoujin Wang |
| Name of university | University of Technology Sydney |
| Email address | shoujin.wang@uts.edu.au |
| Faculty | Engineering and IT |
CSIRO
| Name of CSIRO supervisor | Piotr Koniusz Wei Shao |
| Email address | piotr.koniusz@data61.csiro.au wei.shao@data61.csiro.au |
| CSIRO Research Unit | Data61 |
Industry
| Name of industry supervisor | Ziqi Zhou |
| Name of business/organisation | Pickc Pty Ltd |
| Email address | zicci@pickc.ai |
Further details
| Primary location of student | University of Technology Sydney, 15 Broadway, Ultimo NSW 2007, Australia |
| Industry engagement component location | Pickc Pty Ltd, Level 8, 11 York Street, Tank Stream Labs, Sydney NSW 2000, Australia |
| Other locations | CSIRO Marsfield, 26 Pembroke Road, Marsfield NSW 2122, Australia |
| Ideal student skillset | Essential Solid knowledge in data science and machine learning. Background in computer vision and/or natural language processing (NLP). Proficiency in Python and deep learning frameworks (e.g., PyTorch/TensorFlow). Experience with multimodal AI (vision-language models like CLIP, LLaVA). Research skills demonstrated via publications or projects in AI or machine learning. Desirable Basic knowledge of engineering/domain-specific fields (e.g., CAD, electronics, biology). Experience with generative AI (e.g., diffusion models for synthetic blueprint generation). Collaboration skills for interdisciplinary/industry partnerships. |
| Application close date | Open until position filled |
| Apply | Contact Shoujin Wang |