AI-driven architectural document parsing
Exploring how artificial intelligence can streamline architectural document reviews and support more efficient housing development processes
Victoria Suen, School of Engineering & Technology
About the project
This research investigated the use of artificial intelligence to automate portions of the architectural review process. The project focused on extracting and analyzing information from building plans to support faster review workflows and improve efficiency within the construction and development sector.
The challenge
Architectural document reviews can be time-consuming and resource-intensive, contributing to delays in project approvals and development timelines. The project sought to determine whether AI could assist with reviewing building plans and identifying key information more efficiently.
Approach
- Developed AI tools to analyze architectural drawings and floor plans
- Investigated methods for identifying key building features and spatial information
- Evaluated the ability of the system to extract and interpret design data
- Explored automated validation of selected building requirements
- Assessed opportunities to support planning and approval workflows
Results
- Demonstrated the feasibility of AI-assisted architectural document review
- Successfully extracted and analyzed information from building plans
- Validated the potential for automated compliance and design assessments
- Established a proof of concept for future development and refinement
- Created a foundation for additional research and industry applications
Why it matters
This project highlights how AI can support greater efficiency in the construction and development sector. The work helps:
- Reduce the time required to review architectural documents
- Support more efficient planning and approval processes
- Improve access to building information and design insights
- Create opportunities for innovation in construction technology
- Lay the groundwork for future AI-enabled tools for architects, developers, and municipalities
This project draws on research supported by the Social Sciences and Humanities Research Council.


