Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62056
Volume:
10 |
4 |
April 2026
Pages:
1-5
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.
Department of Information Technology
Maharaja Agrasen Institute of Technology, Delhi, India
Department of Information Technology
Maharaja Agrasen Institute of Technology, Delhi, India
Architectural visualization traditionally demands high-performance hardware and expensive infrastructure subscriptions, creating a significant "Infrastructure Tax" for independent developers. This paper introduces ArchLens AI, a production-grade Software-as-a-Service (SaaS) application that revolutionizes architectural planning by transforming 2D floor plans into photorealistic 3D renders. Utilizing a "Zero-Infrastructure" model via Puter.js, the system operates on a decentralized, user-pays cloud environment, eliminating costs for database hosting and API management. The core engine leverages Gemini 2.5 Flash for spatial interpretation and geometric reconstruction. Results demonstrate that the framework provides instantaneous, high-fidelity visualizations while maintaining 100% geometric adherence to source sketches. This work establishes a scalable blueprint for deploying complex AI solutions with zero initial capital investment.
KEYWORDS
ArchLens AI successfully implements a full-stack architectural visualization tool with zero overhead. By combining serverless workers, KV metadata tracking, and generative AI, the project proves that developers can ship professional-grade software by focusing on core product engineering rather than infrastructure management. Future work will focus on integrating real-time 3D walkthroughs and extending the serverless model to mobile platforms.
] Google DeepMind, "Gemini: A Family of Highly Capable Multimodal Models," Technical Report, 2023. Available: https://deepmind.google/technologies/gemini/ [2] Puter Inc., "Puter.js Documentation," Available: https://docs.puter.com/ [3] React Router Team, "React Router v7 Documentation," Available: https://reactrouter.com/ [4] Vite Team, "Vite Documentation," Available: https://vitejs.dev/ [5] Tailwind Labs, "Tailwind CSS Documentation," Available: https://tailwindcss.com/ [6] CodeRabbit Inc., "CodeRabbit AI Code Review Platform," Available: https://coderabbit.ai/ [7] JetBrains, "Junie: AI Coding Agent for JetBrains IDEs," Available: https://www.jetbrains.com/junie/ [8] United Nations, "Transforming our world: the 2030 Agenda for Sustainable Development," Available: https://sdgs.un.org/2030agenda [9] Verma, D. (2026). ArchLens AI - Project Abstract and Technical Documentation. [10] Hajdin, A. (2026). Engineering AI SaaS: The Zero-Infrastructure Model. JS Mastery.
Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
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...