CONVERT AI - GENERATED TEXT TO HUMAN - WRITTEN TEXT AND REMOVE PLAGIARISM

The rapid integration of AI in text generation across various industries—such as content creation, education, and business—has raised concerns regarding the authenticity and originality of AI-generated content. While efficient and informative, such content often lacks the natural tone, flow, and engagement characteristic of human writing, making it appear artificial or detached. Moreover, due to the nature of AI training on extensive internet datasets, there is an increased risk of unintentional plagiarism through closely mimicked phrasing or structure. This study addresses these challenges by exploring methods to convert AI-generated text into more human-like language through refined syntax, tone adjustment, varied vocabulary, and thorough paraphrasing. It also examines techniques for detecting and mitigating plagiarism to ensure compliance with academic and professional standards. By applying advanced natural language processing techniques and stylistic enhancements, the research contributes to the ethical and effective use of AI in text generation, promoting originality and authentic communication.