Abstract

The advent of artificial intelligence and decentralized applications has paved the way for the establishment of efficient traceability systems. These integrated technologies find application across various sectors such as fintech, industry 4.0, and smart agriculture. Additionally, their influence extends to educational and academic domains. There is a growing inclination toward employing blockchain technology to securely store and retrieve student records. This article introduces a novel system that employs a blockchain approach for storing and managing student attendance. The proposed intelligent system engages educational institutions, students, and potential employers, utilizing deep learning and blockchain technologies as its core methodology. The primary objective of the system is to furnish a comprehensive and precise record of the entire student learning journey, thereby mitigating the risk of fraudulent educational records. Furthermore, the proposed system offers potential advantages to prospective employers by granting them access to substantial volumes of authenticated and systematically accumulated data, facilitating the identification and recruitment of qualified students. The functionality of our system is based on an embedded platform comprising a camera and a Raspberry PI platform, employing artificial intelligence for facial recognition, and utilizing blockchain for secure data storage.