This project provides an AI Grading Assistant that connects to Moodle and uses Generative AI to automatically grade student assignment.
The main parts of the project are:
1. Static Website Hosted on Amazon S3 and served through Amazon CloudFront. It is a React application written in Typescript and uses the CloudScape design system.
2. Serverless Integration The backend is connected to the front end via Amazon API Gateway. Amazon Cognito is used to control user access using the OpenID Connect protocol. AWS Lambda is used to orchestrate calls to down stream systems.
3. Downstream The application uses Amazon Bedrock to invoke Large Language Models (LLMs) such as Anthropic Claude v3 to grade student assignment submissions. It retrieves the student submissions by integrating with Moodle and refers to configuration data that is stored in Amazon DynamoDB.
The project is split into 3 parts:
1. Back end CDK Project An AWS CDK (Cloud Development Kit) project which deploys all of the above infrastructure. It is a Typescript project.
2. Front end UI Project A React single page app which provides the user interface (UI). It is a Typescript project.
3. Lambda functions The AWS Lambda functions are implemented using Python code.
From the main project directory:
npm install- install all dependencies.npm run build- build the UI project.npm run deploy- deploy the project to AWS.
Once the project has been deployed, look for an output parameter in your CloudFormation stack called WebsiteUrl. Open this URL in your browser to access the application.
To run the UI locally:
- Deploy the CDK project (see instructions above)
- After the CDK stack is deployed, a post deployment script will automatically generate a set of environment variables in
ui/public/config.js. This allows your local UI server to connect to the deployed backend in AWS. - Run
npm startto start the local UI server
To remove the project from AWS, use npm run destroy.
This sample code is made available under the MIT-0 license. See the LICENSE file.
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