Grading Accelerator

Apr 8, 2022

TypeScript
Next.js
TailwindCSS
AWS
AWS-CDK
IaC
Serverless
AI
Transformer
The report will describe more about the RQSW system, including four major parts: literature review, system requirements, a proposed design, and implementations. The literature review evaluated existing literature on serverless architectures, transformer systems such as BERT, and Client-Side-Rendering and Server-Side-Rendering. The system requirements included a detailed listing of the functional and non-functional requirements. The proposed design contains use cases, use case diagrams, database schema, sequence diagram, architecture design, and the system interface design. Furthermore, the implementation section details the testing procedure and problems that occurred. The critical review and suggestions for extensions to the project will be contained in this report.The RQSW is a proposed cloud-based platform that allows teachers to create answer books for quizzes or exams. The answer book includes the model answers for questions. The system will grade students' work or sort questions based on the created answer book when the teacher uploads student answer sheets. The system will generate a report for the teacher to reference students' performance. The system can also publish the answer sheet to students by sending the graded results via email. Students can download their results through email, reducing distribution time.

Demonstration

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