Daixuan Tian¹ and Ivan Revilla², ¹USA, ²California State Polytechnic University, US

This paper presents a "Keyword Generator" web application designed to streamline the process of generating relevant keywords for URLs or descriptions using OpenAI's Generative AI model [1]. The project addresses the challenge of keyword generation, crucial for SEO and content categorization, by integrating an AI model that processes input and generates accurate keywords in real time. Experiments were conducted to evaluate the model's accuracy and consistency, revealing high levels of performance, with some limitations in variability. Improvements, such as fine-tuning the model and integrating multilingual capabilities, are suggested to enhance effectiveness. The results highlight the potential of AI-driven keyword generation as an efficient and valuable tool for digital marketing and content creation, demonstrating the system's ability to adapt to different input types and deliver relevant results [2].

Keyword Generation, Generative AI, Natural Language Processing (NLP), SEO Optimization, Content Categorization