Design and Implementation of Cradle: A Prompt-Based AI System for Automatic Web Page Generation
Authors/Creators
- 1. Department of Computer Science and Design, SNS College of Technology, Coimbatore, TamilNadu, India.
Description
In recent years, the demand for rapid digital transformation has led to the widespread use of no-code and low-code platforms for website creation. However, most existing systems still rely heavily on drag-and-drop interfaces, template-based layouts and multi-stage editing processes, which can overwhelm beginners and restrict creative flexibility. To address these challenges, this paper presents Cradle, an AI-powered web development tool that enables users to generate fully functional, responsive websites using only a single natural-language prompt. Cradle integrates a semantic interpretation engine, a generative layout model and a live rendering environment to eliminate traditional barriers in web design. The system instantly converts human-written descriptions into structured HTML, CSS and JavaScript code while providing real-time preview and inline editing capability. This article explains the overall architecture, workflow, algorithmic approach, and evaluates Cradle’s performance against existing no-code platforms. Experimental results show significant improvements in generation time, usability, cognitive load, and design consistency. Cradle demonstrates the potential of AI-augmented development tools to democratize web creation and enhance productivity for both technical and non-technical users
Files
IJCLI-V5-is1-P1.pdf
Files
(1.2 MB)
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