Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43007

Precision Build AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43007

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43007

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.

Share this article:

Authors

PSN

Pathipati Sai Nithin

KAR

Kommireddy Akshay Reddy

KR

Kalva Rohith

CSH

Chinta Sai Harshil

BAV

Bhavesh Atulbhai Vaghela

JP

Jeenal Patel

Author Services & Downloads

Full Articles

Abstract

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

Artificial Intelligence (AI) Site Plan Review BIM (Building Information Modeling) Construction Design Virtual Reality (VR).

Cite This Article

Pathipati Sai Nithin, Kommireddy Akshay Reddy, Kalva Rohith, Chinta Sai Harshil, Bhavesh Atulbhai Vaghela, Jeenal Patel, "Precision Build AI," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43007

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

3/25/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

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.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...