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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52981

AI-Powered Floor Plan Generation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52981

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

AAA

Abdhul Aasif A

JS

Jegath SR

SM

Sriharsha M

SG

Swathi GV

R

Rajiniganth

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Abstract

The speed of architectural technology calls for intelligent, automated, and user-oriented design solutions. AI-Powered Floor Plan Generation offers a state-of-the-art system employing artificial intelligence, machine learning, and generative models of design to automate floor layouts of buildings across 2D and 3D formats. It translates user requirements like land area, number of rooms, and aesthetic tastes into optimized, customizable floor layouts. Through GPT-enabled layout interpretation, ControlNet-orchestrated diffusion models, and CAD automation, it greatly minimizes manual design time, errors, and expenditure. Real-time visualization and cloud collaborative working allow smooth communication between developers, architects, and homeowners. Experimental outcomes prove improved design efficiency, optimized space utilization, and ecologically sustainable arrangement proposals compared to traditional hand drafting.

KEYWORDS

generative design floor plan generation artificial intelligence automation of CAD machine learning architectural visualization sustainable design.

Cite This Article

Abdhul Aasif A, Jegath SR, Sriharsha M, Swathi GV, Rajiniganth, "AI-Powered Floor Plan Generation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025.

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Publication Date

11/9/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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