Optimizing Content Production Cycles with AI Technology

The thesis explores the development of an AI-powered web application that automates content creation using OpenAI’s ChatGPT. This platform addresses the rising demand for high-quality, SEO-optimized content by significantly reducing the time and costs of traditional content creation. It provides features like topic categorization, customizable prompts, and support for various output formats, including Word, PDF, and Markdown, with seamless WordPress integration for direct publishing. The platform is user-friendly and caters to a diverse audience, from bloggers to marketing agencies. It employs modular architecture for scalability and maintainability, uses Python and JavaScript frameworks, and incorporates a feedback-driven optimization module to enhance content quality. Rigorous testing demonstrated the system’s efficiency, achieving content generation speeds of 30 seconds per prompt and reducing content production time by 80%. SEO tools verified the high readability and keyword optimization of the generated content. The results underscore the potential of AI in transforming digital content production, offering a scalable, efficient, and practical tool for businesses and content creators. Future enhancements may include multimedia and multilingual content support.