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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68469
Volume:
10 |
10 |
Oct 2026
Pages:
1-7
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.
Computer Engineering
R.C. Patel Institute of Technology, Shirpur
Computer Engineering
R.C. Patel Institute of Technology, Shirpur
Computer Engineering
R.C. Patel Institute of Technology, Shirpur
Computer Engineering
R.C. Patel Institute of Technology, Shirpur
Computer Engineering
R.C. Patel Institute of Technology, Shirpur
The Designed Home with AI project is about designing homes using AI, ML and Computer Vision technologies. It normally takes quite some time, skills and financial resources to design homes. Furthermore, it can be difficult for users to design a particular house on their plot of land with their preferences in mind before construction. The system designed will help people in overcoming these problems. Users will be able to upload pictures of their land and specify dimensions and their requirements through the platform. We will use computer vision algorithms such as image pre-processing and edge detection in order to analyze the land that they have. Then AI will help us create suitable layouts and maximize space. The system will also offer customized recommendations for interior and exterior finishes for them to choose and customize. House Designs will be available in 3D model as well as Virtual Reality walkthrough experience using Unity3D which would allow users to visualize their dream build before it's constructed. We plan to combine Android App development, Backend services, AI and 3D visualization into a seamless product that can be used for designing homes. We aim to reduce manual work, improve productivity and simplify the process of designing for our users, architects and designers. We are focusing on residential buildings plans but would like to incorporate AR, VR, sustainable designs and cost estimation in the coming years
KEYWORDS
Designed Home with AI could really change the game when it comes to making preliminary home planning easier for everyone. It lets users dive into house designs tailored to their plot size, land photos, and personal tastes. By mixing AI-driven design ideas with 3D visualizations, this system helps folks wrap their heads around different floor plans and share their thoughts with architects more clearly. It's particularly handy for those who aren’t too familiar with architectural software, offering a user-friendly way to explore layouts, interior styles, and how the outside of a house will look. Plus, it encourages users to think about how to use their space wisely and weigh different planning options before committing to any decisions. Looking ahead, Designed Home with AI could get even better with more precise plot boundary detection, smarter AI for creating floor plans, extra customization choices, and interactive 3D walkthroughs. Future upgrades might also include advanced furniture placement ideas, the ability to plan multi-floor homes, tips for energy-efficient designs, features that enhance accessibility, and considerations based on local environmental factors. It would be great to add collaboration tools too, so users can easily share their designs with architects and others for input. All of these enhancements could really boost the system's value as a tool for initial home planning and visualization. Of course, any new features would need to be tested once implemented, and it's essential that all proposed layouts get a professional review to ensure they're structurally sound and meet relevant building codes before anything gets built.
[1] P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, “Image-to-image translation with conditional adversarial networks,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2017, pp. 1125–1134. [2] D. P. Kingma and M. Welling, “Auto-encoding variational Bayes,” in Proc. 2nd Int. Conf. Learning Representations (ICLR), 2014. [3] OpenCV, “OpenCV documentation.” [Online]. Available: https://docs.opencv.org/ [4] TensorFlow, “TensorFlow documentation.” [Online].Available: https://www.tensorflow.org/ [5] Android Developers, “Develop Android apps with Kotlin.” [Online]. Available: https://developer.android.com/ [6] Unity Technologies, “Unity user manual.” [Online].Available: https://docs.unity3d.com/Manual/ [7] FastAPI, “FastAPI documentation.” [Online].Available: https://fastapi.tiangolo.com/ [8] Firebase, “Firebase documentation.” [Online].Available: https://firebase.google.com/docs [9] Python Software Foundation, “Python documentation.” [Online]. Available: https://docs.python.org/3/ [10] SQLite, “SQLite documentation.” [Online].Available: https://www.sqlite.org/docs.html [8] Video Proposal: https://youtu.be/qohzWNmFsEk
Publication Date
10/29/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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