Development and Evaluation of an AI-Powered Content Creation SaaS Platform Using the PERN Stack

The rapid growth of digital media has increased the demand for intelligent platforms that simplify content creation and design tasks. This research paper presents the development of an AI-powered content creation web application built using the PERN stack (PostgreSQL, Express.js, React.js, and Node.js). The proposed system provides multiple AI-driven features, including background removal from images, AI-based image generation, blog title generation, and automated article creation, using modern external APIs. The backend of the application is implemented using Node.js and Express.js, while PostgreSQL is used for efficient data storage and management. The frontend is developed using React.js, enabling a responsive and interactive user interface. For AI functionalities, the system integrates the Gemini API for natural language processing tasks such as blog title and article generation, and the ClipDrop API for image processing operations including background removal and image generation. The application allows users to input text prompts or upload images, which are then processed through the respective AI APIs to generate high-quality outputs in real time. This approach reduces manual effort and eliminates the need for advanced design or writing skills. Experimental results indicate that the platform delivers accurate image processing and contextually relevant textual content while maintaining performance and scalability. The proposed system demonstrates how combining the PERN stack with powerful AI APIs can create a scalable, efficient, and user-friendly content creation platform. This research highlights the practical application of AI-driven automation in modern web development and digital content generation.