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A plagiarism-detection system designed to identify copied and reworded Arabic academic content using semantic similarity and vector-based search.
An intelligent plagiarism detection platform specifically designed for Arabic-language academic papers and articles, using advanced vector embeddings and semantic matching to identify copied, paraphrased, and reworded submissions.
Universities and academic institutions faced significant plagiarism issues with no effective solution.
Existing plagiarism detection tools were ineffective for Arabic language content.
Tools lacked semantic understanding of reworded or paraphrased content.
Manual review was time-consuming and unreliable.
Sophisticated plagiarism such as rewording and translation plagiarism was difficult to detect.
Academic integrity problems were growing across institutions.
We built a practical system designed around the project's operational needs, improving clarity, access, and everyday workflow.
Implemented as part of the project scope to improve the business workflow.
Implemented as part of the project scope to improve the business workflow.
Implemented as part of the project scope to improve the business workflow.
Implemented as part of the project scope to improve the business workflow.
Implemented as part of the project scope to improve the business workflow.
Implemented as part of the project scope to improve the business workflow.
Implemented as part of the project scope to improve the business workflow.
The project improved operational visibility and gave the team a clearer, more reliable way to manage daily work.
detection accuracy
papers indexed
second analysis time
Let's discuss how we can help you transform your operations with custom software.