Published Paper Details:

In the modern digital ecosystem, websites have become a fundamental requirement for businesses, startups, educational institutions, and individuals. However, traditional website development involves multiple technical stages such as requirement analysis, UI/UX design, frontend and backend implementation, testing, and deployment, which demand significant time and technical expertise. Although AI-driven website builders have emerged to simplify this process, most existing tools generate static websites in a single iteration, lack conversational continuity, and provide limited access to the generated source code. This paper proposes an AI-powered website builder using conversational generation that enables users to create and iteratively refine websites through natural language interaction. The proposed system allows users to continuously modify the website using conversational prompts, preview changes in real time, manually edit generated HTML, CSS, and JavaScript code, and export the final website for deployment. The system is developed using Next.js for frontend and API handling, Supabase for authentication and database management, and generative AI models for dynamic website generation. The solution bridges the gap between non-technical users and professional developers by combining AI automation with developer-level control.