Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61144
Volume:
10 |
4 |
April 2026
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.
Imagine how different the process of building a website was just a few years ago. You would hire a professional web developer, wait for weeks or even months, spend thousands of dollars, or alternatively, struggle with complicated drag-and-drop builders that still required significant technical understanding. These traditional approaches, though functional, created substantial barriers for small businesses, entrepreneurs, and individuals who simply wanted an online presence. In this paper, we have guided the readers on our ideas towards creating an AI-powered SaaS website builder workflow, how we constructed it and tested it, and how it can be of value to users seeking instant website generation. The platform allows users to describe their desired website in plain language and receive a fully functional, deployed website within minutes. Our features included AI-driven code generation, one-click deployment, credit-based monetization, secure authentication, and smooth user interfaces. The most important contributions here have been the creation of an adaptable architecture to support prompt-to-website conversion, ensuring the interface performs excellently across devices, and actually analyzing the question of whether the platform is working by evaluating user reactions. What we discovered was fairly promisingâusers saved tremendous development time, non-technical individuals could create professional websites, and the credit-based system proved to be a sustainable monetization model. The AI generation approach proved to be a win-win as users receive instant results when they need them and the platform receives a way of sustaining its operations through subscription and credit purchases. This study contributes to the existing information about AI-powered development tools and provides practical guidance to anyone developing such a type of intelligent website generation platform.
KEYWORDS
Publication Date
4/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
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...