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An advanced academic grading platform built with Java. Leverages Google's Vertex AI for automated essay assessment and similarity algorithms for plagiarism detection, streamlining the evaluation process .

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Kanabu-G/sage-academic-system

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SAGE

Sage is an AI-powered academic grading platform that automates assessment workflows for educational institutions. Built with Java, Spring Boot, and Vaadin, it provides a seamless experience for instructors to grade assignments and detect potential plagiarism.

Key Features

  • AI-Powered Grading: Utilizes Google's Vertex AI to evaluate and score academic submissions
  • Plagiarism Detection: Implements similarity algorithms to identify potentially plagiarized content

Running the application

The project is a standard Maven project. To run it from the command line, type mvnw (Windows), or ./mvnw (Mac & Linux), then open http://localhost:8081 in your browser.

You can also import the project to your IDE of choice as you would with any Maven project. Read more on how to import Vaadin projects to different IDEs (Eclipse, IntelliJ IDEA, NetBeans, and VS Code).

Deploying to Production

To create a production build, call mvnw clean package -Pproduction (Windows), or ./mvnw clean package -Pproduction (Mac & Linux). This will build a JAR file with all the dependencies and front-end resources, ready to be deployed. The file can be found in the target folder after the build completes.

Once the JAR file is built, you can run it using java -jar target/my-app-1.0-SNAPSHOT.jar

Project structure

  • MainLayout.java in src/main/java contains the navigation setup (i.e., the side/top bar and the main menu). This setup uses App Layout.
  • views package in src/main/java contains the server-side Java views of your application.
  • views folder in src/main/frontend contains the client-side JavaScript views of your application.
  • themes folder in src/main/frontend contains the custom CSS styles.

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An advanced academic grading platform built with Java. Leverages Google's Vertex AI for automated essay assessment and similarity algorithms for plagiarism detection, streamlining the evaluation process .

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