Python
OpenCV
YOLOv5

The Advanced Proctoring System is an AI-powered tool designed to monitor online exams by detecting:
✅ Phones & electronic devices using YOLOv5
✅ Face absence & multiple faces to prevent impersonation
✅ Eye tracking & looking away detection using MediaPipe
✅ Real-time alerts, logging, and violation tracking

✔️ Real-time monitoring with OpenCV
✔️ YOLOv5-based phone detection (optimized for multiple classes)
✔️ Face & eye detection with Haar cascades
✔️ Live audio alerts for violations
✔️ Automated logging & violation reports
✔️ Cross-platform compatibility (Windows, Linux, macOS)

graph TD;
 A[Start] --> B[Initialize Systems]
 B -->|Load YOLOv5| C[Phone Detection]
 B -->|Load MediaPipe| D[Face & Eye Tracking]
 B -->|Initialize Logging| E[Logging & Reports]
 C -->|Detect Phones| F[Violation Check]
 D -->|Detect Multiple Faces| F
 D -->|Track Eye Movement| F
 F -->|No Violations| G[Continue Monitoring]
 F -->|Violation Detected| H[Trigger Alert & Log]
 H --> I[Capture Screenshot & Record]
 I --> J[Store in proctoring_logs/]
 J --> K[Generate Report]
 G --> B
 H --> B
 K --> L[End]

📝 Violation logs are stored in the proctoring_logs/ folder.

• 🔍 Enhance accuracy with deep learning-based face tracking
• 🎙️ Voice detection for verbal cheating detection
• 📊 Web-based dashboard for real-time analytics