Similarity Detection in Two or More Submitted Documents

Abstract

Abstract: Educational Institutions & Organizations of the modern era are rapidly adopting the hybrid work culture, in the aftermath of the worldwide pandemic. Institutions & Organizations frequently require authentic, original content for a wide variety of purposes. Though students & employees strive towards that objective, plagiarized content often slips through scrutinization more often than the acceptable count. This paper aims to analyze and record the process & outcomes of building a web application that enables similarity detection between two or more files by uploading them on the application, or in other words, determine the similarity between the files. The web application will accept two or more files as input, and return similarity percentage which will be calculated using the Levenshtein distance Algorithm, as an automated report that will be sent to the user as an email. In our case, the web application will be majorly utilized to curb similarity in assignments. Along with this, the application will have a feature that allows any teacher to compare any two or more assignments submitted in a particular class, with just one click.