ExamEdu - Smart Exam Management System

An online examination platform with AI-powered cheating detection. Built with ASP.NET Core for schools and universities to conduct secure, monitored exams with automatic grading and real-time proctoring.

✨ Technologies

• ASP.NET Core 5.0
• PostgreSQL
• SignalR
• Redis
• Entity Framework Core
• JWT Authentication

🚀 Features

Here's what you can do with ExamEdu:

• AI-Powered Cheating Detection: The system monitors students in real-time during exams. It automatically detects suspicious behaviour from students' webcams based on their headpose. Teachers get instant alerts when the AI flags potential cheating.

• Smart Question Banks: Organize questions by subject, difficulty level, and type. Questions go through an approval workflow to ensure quality before being added to the bank.

• Auto-Generate Exams: Create multiple exam versions instantly. Just set the difficulty levels and number of questions, the system does the rest. Each student gets a different version to prevent copying.

• Instant Grading: Multiple-choice questions are graded automatically the moment students submit. Teachers can focus on grading essay questions while the system handles the rest.

• Live Monitoring: Watch all students taking exams in real-time. See who's online, who disconnected, and get AI alerts for suspicious activity, all from one dashboard.

• Smart Reports: Export detailed results to Excel with charts showing class performance, individual progress, and question difficulty analysis.

🛠 Architecture

System Architecture

Design Patterns & Principles

Pattern	Implementation
Repository Pattern	Service layer abstracts data access
DTO Pattern	Clean separation between entities and API
Dependency Injection	Constructor injection throughout
Middleware Pipeline	Custom exception handling & CORS

Package Diagram

💭 How Can It Be Improved?

• Add facial recognition during exams for enhanced identity verification
• Implement video recording during exams with playback for review
• Add more AI detection patterns (copy-paste behavior, screen capture attempts)
• Create a mobile app for iOS and Android
• Implement advanced analytics with machine learning for predicting student performance
• Add integration with popular learning management systems (Moodle, Canvas)

🚦 Running the Project

To run the project in your local environment, follow these steps:

1. Clone the repository to your local machine
2. Make sure you have .NET 5.0, PostgreSQL, and Redis installed
3. Create appsettings.json in the root directory with your database and email configuration
4. Run dotnet restore to install dependencies
5. Run dotnet ef database update to create the database
6. Run dotnet run to start the application
7. Open https://localhost:5001 in your browser
8. Use the Swagger UI at https://localhost:5001/swagger to explore the API