Challenges to Plagiarism Detection and the Use of Voice Assistants in Everyday Life and Education

This paper explores the interdependent relationship between voice assistants and their inclusion in daily life and education, as well as the complex difficulties associated with plagiarism detection. Voice assistants have rapidly advanced and are now widely used because they provide effective speech recognition, semantic comprehension, and interactive features. At the same time, the growing problem of plagiarism necessitates creative answers. This paper evaluates the use of voice assistants in several fields, including education and language acquisition, critically. It also examines the methods used to identify plagiarism while noting their ethical ramifications and the requirement for prevention actions. This research hopes to highlight possible connections between these two seemingly unrelated areas by combining them, opening the door for comprehensive viewpoints that can advance both fields. The SOAR analytical framework is employed in the present review study. This study aimed to explain the concepts of plagiarism and voice assistants, under one roof.