Web Plagiarism Detection Against Candidate Code

We’re thrilled to announce the launch of our sophisticated algorithm, which leverages advanced technology to identify copied material, ensuring that the submissions we evaluate reflect genuine understanding and original thought.

“Web Sense” utilizes state-of-the-art techniques to analyze the code submitted by candidates. It examines the structure, context, and phrasing of the content, comparing it to existing web material. By employing advanced matching algorithms, Web Sense can detect not only direct copying but also instances of paraphrasing and subtle rewording.

When a submission is evaluated using Web Sense, the candidate’s report includes a plagiarism score, indicating the percentage of content that matches online sources, along with the link to the website where the maximum match is detected. This score helps evaluators understand the originality of the work.