Saved in:
| Main Authors: | , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.18254294 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901035432280064 |
|---|---|
| author | Saurabh Dahiya Ankit Rewar |
| author_facet | Saurabh Dahiya Ankit Rewar |
| contents | <p>The increasing<br>presence has<br>demand for rapid digital<br>amplified the need for<br>efficient, accessible, and automated website<br>development tools. Traditional website<br>creation requires extensive programming<br>skills, UI/UX design expertise, backend<br>development knowledge, and deployment<br>experience, making it difficult for<br>non-technical users to create functional web<br>applications independently. This research<br>presents AI Website Builder, an intelligent<br>automated web development platform<br>capable of generating complete, responsive<br>websites<br>descriptions.<br>using natural-language<br>The system leverages<br>advancements in Artificial Intelligence and<br>modern full-stack technologies such as<br>React, Next.js, Tailwind CSS, Node.js,<br>Prisma ORM, and Neon PostgreSQL.<br>Inaddition, it integrates advanced AI modul<br>addition, it integrates advanced AI<br>modulesaddition, it integrates advanced AI<br>modules<br>addition, it integrates advanced AI modules<br>like CodeRabbit<br>refinement and<br>for intelligent code<br>E2B for secure,<br>containerized runtime execution and<br>real-time previews.<br>The proposed methodology involves prompt<br>interpretation, automated interface<br>generation, dynamic component creation,<br>and code optimization through AI-assisted<br>processes. The system also includes<br>mechanisms for project storage, version<br>control, export functionality, and instant<br>deployment support. Experimental<br>evaluation demonstrates that the system<br>generates functional websites with an<br>average response time of 5–10 seconds,<br>significantly reducing development time,<br>eliminating repetitive coding tasks, and<br>improving developer productivity. The<br>platform also enhances accessibility for<br>users with limited technical skills by<br>providing a seamless, prompt-driven<br>workflow.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18254294 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI Website Builder: An Intelligent Automated Web Development Platform Saurabh Dahiya Ankit Rewar Machine Learning computer science <p>The increasing<br>presence has<br>demand for rapid digital<br>amplified the need for<br>efficient, accessible, and automated website<br>development tools. Traditional website<br>creation requires extensive programming<br>skills, UI/UX design expertise, backend<br>development knowledge, and deployment<br>experience, making it difficult for<br>non-technical users to create functional web<br>applications independently. This research<br>presents AI Website Builder, an intelligent<br>automated web development platform<br>capable of generating complete, responsive<br>websites<br>descriptions.<br>using natural-language<br>The system leverages<br>advancements in Artificial Intelligence and<br>modern full-stack technologies such as<br>React, Next.js, Tailwind CSS, Node.js,<br>Prisma ORM, and Neon PostgreSQL.<br>Inaddition, it integrates advanced AI modul<br>addition, it integrates advanced AI<br>modulesaddition, it integrates advanced AI<br>modules<br>addition, it integrates advanced AI modules<br>like CodeRabbit<br>refinement and<br>for intelligent code<br>E2B for secure,<br>containerized runtime execution and<br>real-time previews.<br>The proposed methodology involves prompt<br>interpretation, automated interface<br>generation, dynamic component creation,<br>and code optimization through AI-assisted<br>processes. The system also includes<br>mechanisms for project storage, version<br>control, export functionality, and instant<br>deployment support. Experimental<br>evaluation demonstrates that the system<br>generates functional websites with an<br>average response time of 5–10 seconds,<br>significantly reducing development time,<br>eliminating repetitive coding tasks, and<br>improving developer productivity. The<br>platform also enhances accessibility for<br>users with limited technical skills by<br>providing a seamless, prompt-driven<br>workflow.</p> |
| title | AI Website Builder: An Intelligent Automated Web Development Platform |
| topic | Machine Learning computer science |
| url | https://doi.org/10.5281/zenodo.18254294 |