Grading Document Extraction and Verification System

Installation

Follow these steps to set up and run the project:

1. Clone the repository
   Open a terminal/command prompt and run:

   git clone <repository-url>

2. Navigate to the project directory
   Change into the project folder:

   cd <project-directory>

3. Restore the dependencies
   Use the following command to restore all required packages:

   dotnet restore

4. Build the project
   Run the build command to compile the project:

   dotnet build

Setup OpenAI API

To use GPT models in this project, you need an OpenAI API key. Follow these steps to obtain and configure the API key:

1. Create an OpenAI account
   Go to OpenAI's official website and create an account if you don't have one.

2. Generate an API key
   After logging in, go to your OpenAI API keys page. Click on "Create New Secret Key" to generate a new API key.

3. Set the API key in the environment
   You need to set the API key in your environment variables. Depending on your operating system, follow one of the following steps:

   Windows:

   Open a command prompt or PowerShell and run:

   setx OPENAI_API_KEY "<your-openai-api-key>"

   After setting the key, restart your terminal or IDE to ensure the environment variable is loaded.

   Mac/Linux:

   Open a terminal and add the following to your ~/.bashrc or ~/.zshrc file:

   export OPENAI_API_KEY="<your-openai-api-key>"

   Then run the following command to reload your shell:

   source ~/.bashrc

   (Or replace .bashrc with .zshrc if you’re using ZSH.)

4. Verify the API key
   Ensure the key is set properly by running:

   echo $OPENAI_API_KEY

   It should display your OpenAI API key.

Running the Project

Once you have completed all the steps above, follow these commands to run the project:

1. Run the project
   Use this command to start the application:

   dotnet run

2. Access the Application
   Once the project is running, navigate to http://localhost:7102 in your web browser.

3. Upload and Analyze a Document
   You can upload a PDF or image file (JPG, PNG) to the application. The system will extract the information, and you will be able to review and correct any inaccuracies in the extracted data.

Troubleshooting

• API Key Not Working:
  If the GPT service fails to run, ensure that your OpenAI API key is correctly set as an environment variable and that it has sufficient funds on your account.

Gallery

This image shows uploading documents at the home page

GPT Vision API analyzes the document file to usable data

Documents finished analyzing, user can now view information about the submission

Viewing the course requirements and the courses included in calculating average merit value

Viewing a individual uploaded document, the analyzed data on the left, and the PDF on the right

Administrator can configure what courses are required for the submission