AI Content Generator Using NextJS and Gemini

• Author(s): Shaik Yaseen ; Shashi Kumar ; Raja Hussain ; Keerthi
• Paper ID: 1707738
• Page: 113-117
• Published Date: 04-04-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 8 Issue 10 April-2025

Abstract

This paper explores the application of AI-powered content generation using Next.js and Gemini, focusing on the automated creation of high-quality, contextually relevant text. The rise of generative AI models has shown promising potential in enhancing content creation workflows across various industries. This study integrates Gemini, a state-of-the-art AI model, with Next.js, a React framework, to build a responsive, scalable platform capable of generating unique content on-demand. The system leverages advanced natural language processing techniques to deliver coherent and engaging text across multiple domains. The results demonstrate that the proposed AI-driven content generation tool excels in efficiency and creativity, outpacing traditional content generation methods. These findings highlight the potential of combining Next.js and Gemini to revolutionize content creation, reduce production time, and enhance user experience.

Keywords

AI content generation; Next.js framework; Gemini model; natural language processing; scalable platforms.

Citations

IRE Journals:
Shaik Yaseen , Shashi Kumar , Raja Hussain , Keerthi "AI Content Generator Using NextJS and Gemini" Iconic Research And Engineering Journals Volume 8 Issue 10 2025 Page 113-117

IEEE:
Shaik Yaseen , Shashi Kumar , Raja Hussain , Keerthi "AI Content Generator Using NextJS and Gemini" Iconic Research And Engineering Journals, 8(10)