Abstract
Abstract: In today's dynamic academic environment, millions of students seek various certificates while studying in academic institutions amplifying challenges for educators and administrators in manually handling academic records and certificates, particularly during employment processes and record maintenance. The persistent threat of counterfeiting adds to these challenges. This Case study of IndoAI ‘s Certification addresses the need for a robust authentication mechanism for academic certificates, proposing the utilization of digital certificate systems alongside cutting-edge facial recognition technology. This integration streamlines verification processes, reduces administrative burdens, ensures confidentiality, and enhances overall security. The integration of digital certificates and facial recognition emerges as a comprehensive solution, mitigating the risks associated with identity fraud and impersonation in academic settings and can be answer to blockchain technology in terms of scalability, ease of use and implementation. This system can very well be adopted by Organization’s HR department for internal certifications with Dutypar App’s robust feedback system.
Cite
CITATION STYLE
Gujar, V. (2023). Enhancing Verification & Authenticity through Digital Certificate Generation with Facial Recognition for Educational Institutions: A Case Study of IndoAI app. International Journal for Research in Applied Science and Engineering Technology, 11(12), 2173–2179. https://doi.org/10.22214/ijraset.2023.57818
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