AI-Powered Online Testing Assistant

An intelligent system designed to streamline educational assessment processes using AI technologies.

Features

• Test Generation: Create tests using Large Language Models
• Handwritten Answer Processing: OCR technology to digitize handwritten responses
• Automated Grading: AI reasoning models for intelligent assessment
• Analytics Dashboard: Insights into student performance
• Personalized Feedback: Custom learning resources based on performance

Architecture

• Backend: Python/Flask RESTful API
• Frontend: React with Glassmorphism UI design
• Databases:
  • PostgreSQL for structured data (users, tests, questions)
  • MongoDB for unstructured data (student answers, AI feedback)
• AI Services:
  • LLM integration (via APIs)
  • OCR processing (via Google Cloud Document AI/Azure AI)
  • AI reasoning for automated grading

Prerequisites

• Docker
• Docker Compose
• PostgreSQL
• MongoDB
• Python 3.9+
• Node.js 16+

Development Setup

1. Clone the repository
2. Run docker-compose up to start the development environment
3. Access the running backend container: docker-compose exec backend bash
4. Inside the container, initialize migrations (only once): flask db init
5. Create the initial migration: flask db migrate -m "Initial migration with User and Test models"
6. Apply the migration to the database: flask db upgrade
7. Backend API will be available at http://localhost:5000
8. Frontend will be available at http://localhost:3000

Project Structure