AN AI-POWERED SYSTEM FOR AUTHENTICATING AND SCREENING ONLINE STUDENT DOCUMENT
Abstract
ABSTRACT
AI-powered system for authenticating and screening online student document is critical challenges in the admission process, particularly in ensuring that applicants meet the necessary qualifications. Educational institutions must confirm that the documents submitted, such as transcripts and certificates, are authentic and belong to the applicants who registered. Additionally, it is essential to ensure that these documents have not been tampered with or falsified. To address these challenges, various technologies with different levels of automation have been developed. This project presents a specific solution built using PHP and MySQL, which leverages AI-powered document verification to enhance the efficiency and accuracy of the admission process. The system is designed to be scalable, automated, and cost-effective, and requires minimal hardware and software from users. The study also discusses the system's performance on a large scale, as well as user feedback on its usability and privacy features.
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