Design and Implementation of an AI Image Generation Web Application

Abstract

This paper explores the fusion of MERN (MongoDB, Express.js, React, Node.js) stack with AI for image generation,
showcasing a dynamic website. Leveraging GANs or VAEs, the system provides real-time user feedback, adapting the AI
model for diverse and realistic image synthesis. The MERN-AI synergy ensures scalability, a responsive UI, and a
seamless creative experience. Through RESTful APIs and MongoDB, the backend manages data efficiently, while React
on the frontend enables intuitive interactions. The study highlights the potential of this integrated platform for
innovative, user-centric image generation applications.