Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43007
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The “Precision Build AI” project introduces an innovative approach to integrating Artificial Intelligence (AI) into construction design within designated land areas. This initiative aims to enhance the efficiency and accuracy of planning and development processes by leveraging AI technologies. Through AI algorithms, natural language processing (NLP), and virtual reality (VR), the project automates the review of construction plans against complex building and land development codes. The developed software system can process various data formats, such as CAD, BIM files, and PDFs, extracting relevant information to streamline compliance verification. Beyond building codes, this AI-driven solution also addresses land development regulations, including zoning, planning, and engineering requirements. By utilizing semantic NLP and machine learning techniques, the system enables instant reviews of site plans, ensuring compliance with municipal regulations. This not only saves time and reduces costs but also enhances the precision of regulatory compliance checks. Overall, this AI-powered approach represents a significant breakthrough in the construction industry. By simplifying complex building and zoning code interpretations, it provides an efficient, accurate, and sustainable solution for construction design within allocated land areas.
KEYWORDS
Publication Date
3/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...