AI-Powered Online Exam System with Activity Monitoring

This is an AI-powered Online Exam System with real-time monitoring, cheating detection, and data visualization. The system tracks user activities (keystrokes, mouse movements, and tab switches) and assigns risk levels using Socket.io and Chart.js for visualization.

Features

• User Authentication - Simple username login to start the exam.
• Real-time Monitoring - Tracks keystrokes, mouse movement, and tab switching.
• Cheating Detection - Flags suspicious activity and sends risk alerts.
• Socket.io Integration - Real-time data communication between frontend and backend.
• Chart.js Visualization - Displays:
  • User Score (Bar chart)
  • Risk Level Over Time (Line chart)
  • Activity Breakdown (Pie chart)
• Admin Dashboard - View real-time user activity logs

Project Structure

#Built With Frontend: HTML, CSS, JavaScript, Chart.js Backend: Node.js, Express.js, Socket.io Machine Learning (Optional): Python, Flask Real-time Communication: WebSockets (Socket.io