https://github.com/kevalshah91/advanced-proctoring-system

An AI-powered proctoring system utilizing YOLOv5, MediaPipe, and OpenCV for real-time detection of phones, multiple faces, eye tracking, and suspicious activity during online assessments. Features audio alerts, logging, and automated violation tracking.
https://github.com/kevalshah91/advanced-proctoring-system

object-detection opencv proctoring-system yolo

Last synced: about 1 month ago
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An AI-powered proctoring system utilizing YOLOv5, MediaPipe, and OpenCV for real-time detection of phones, multiple faces, eye tracking, and suspicious activity during online assessments. Features audio alerts, logging, and automated violation tracking.

• Host: GitHub
• URL: https://github.com/kevalshah91/advanced-proctoring-system
• Owner: Kevalshah91
• Created: 2025-03-30T04:41:27.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-30T04:49:18.000Z (about 1 year ago)
• Last Synced: 2025-03-30T05:24:06.337Z (about 1 year ago)
• Topics: object-detection, opencv, proctoring-system, yolo
• Language: Python
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 📌 Advanced Proctoring System  

![Python](https://img.shields.io/badge/Python-3.8+-blue?logo=python)  

![OpenCV](https://img.shields.io/badge/OpenCV-4.x-blue?logo=opencv)  

![YOLOv5](https://img.shields.io/badge/YOLOv5-Object_Detection-orange)  

## 🚀 Overview  

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**  

## 🛠️ Features  

✔️ **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)  

## 🔄 System Flowchart  

```mermaid

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]

```

## 📜 Logging & Reports  

📝 **Violation logs** are stored in the `proctoring_logs/` folder.  

## 📌 Future Improvements  

- 🔍 **Enhance accuracy** with deep learning-based face tracking  

- 🎙️ **Voice detection** for verbal cheating detection  

- 📊 **Web-based dashboard** for real-time analytics