augisbud/quizcraft

QuizCraft

This solution allows users to upload a summary of a given topic, whether it is a university or work assignment, and receive multiple-choice questions based on that summary to practice their knowledge and be evaluated on matters related to that topic.

Team Members

• Augustas Budnikas
• Ignė Balvočiūtė
• Emilija Marija Dailydžionytė

Technologies Used

Front-end:

• React

Back-end:

• .NET 8
• C#
• Entity Framework Core
• PostgreSQL
• OpenAI API
• Docker

Deployment on a Local Machine

Checkout the Github Repository, then run the following commands Using .NET 8 SDK:

cd QuizCraft.Domain.API
dotnet run

or using Docker

cd QuizCraft.Domain.API
docker build -t quicraft:latest .
docker run -p 8080:8080 quizcraft:latest

Project Structure

Main components

• User
• Question

Data flow

The project utilizes the following key components and database tables:

1. Users Table:

   • Stores user information, such as account details and preferences.
   • Each new user is registered here.

2. Files Table:

   • Stores data about the files uploaded by users.

3. Generated Questions Table:

   • Stores the questions generated by the AI for each uploaded file.
   • Allows users to retake tests if necessary.

4. Test Results Table:

   • Stores a history of user test results and scores.
   • Enables users to review past performance.

File Upload and Test Generation

1. File Upload:

   • Users upload learning materials through the file upload interface.

2. Processing:

   • The backend processes the file and extracts the content.

3. Test Generation:

   • AI engine analyzes the content and generates relevant questions.

4. Test Output:

   • The generated test is displayed to the user, allowing them to answer questions and submit responses.

Use-case Diagram