Smart Contracts Student Services for Automating and Streamlining Using Block Chain
Abstract
The focus of the current paper is on examining the innovative applicability of smart contracts for revolutionizing the services of students within the education sector. Specifically, smart contracts are a solution to the many problems faced by the academic institution; it is possible to automate most of the processes, including registration, grade distribution, student advising, and tracking of graduation requirements. In this paper, we use the Recurrent neural Network (RNN) and Collaborative filtering to analyze the efficiency of smart contract using block chain. The advantages, limitations, and further ramifications of smart contracts' application in these spheres are discussed through a systematic analysis of the existing literature. Based on case evidence and the current research, it offers a glimpse of the best practices, technological factors, and potential advancement in the use of smart contracts for student services.