🎉 Transforming Remote Assessments with AI!!! 🎉

AI-Based Proctoring System for Secure Assessments 🔒

An open-source initiative to transform remote assessment integrity using cutting-edge AI technology.

🌟 Features ⚙️ Installation 🏗️ Architecture 🚀 Usage 🤝 Contributing 👥 Community

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📄 Provide Your Feedback or Participate

We value your feedback! Please take a moment to fill out the Google Form and contribute to improving our project.

📋 Google Form - Participate Now!

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🌟 Stars	🍴 Forks	🐛 Issues	🔔 Open PRs	🔕 Close PRs

🌟 Overview

This project introduces a cutting-edge AI-powered proctoring system designed to maintain fairness, security, and integrity in remote assessments. By leveraging advanced machine learning techniques, this system redefines how online tests are monitored.

🏆 Featured In

Social Winter Of Code

Social Winter of Code is an open-source program Which aims to bring students into the world of open source development.

📺 Project Demo

Watch our community demo:

🎥 Watch Demo

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🌟 Features

🤖 AI-Powered Monitoring Eyeball and Lips Movement Detection Facial Emotion Recognition Screen and Audio Analysis

🔒 Device and Port Checks Unauthorized device detection Port monitoring and anomaly detection Wi-Fi/Bluetooth signal analysis

🏗️ Architecture & Design

🎥 Screen and Audio Monitoring Real-time screen activity analysis Speech-to-text conversion for audio validation

📶 Device and Network Monitoring Wi-Fi and Bluetooth signal scanning Pattern recognition for unauthorized devices

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Key Features and Uniqueness

Added Features

Gaze Tracker

Priority Areas for Contribution

1. Database Integration

2. Features Integration

3. UI/UX Improvements

4. Features Development

🛣️ Project Roadmap

Phase 1 (Current)

Phase 2 (Upcoming)

Phase 3 (Future)

🔧 Technology Stack

Backend Infrastructure

Frontend Technologies

🚀 Future Improvements

🧠 Enhanced Behavioral Analysis Typing cadence detection Posture analysis for better behavior tracking

🔒 Blockchain for Data Integrity Tamper-proof logs of proctoring sessions Improved transparency and data auditability

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⚙️ Development Setup

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add your feature"

4. Push to the branch:

   git push origin feature-name

5. Open a pull request for review.

Troubleshooting Common Issues

PUT SOME GENERAL POINTS HERE ALSO

📁 Project Structure

Directory structure:
└── Hiteshydv001-Guard-AI/
    ├── GazeTracking/
    │   ├── example.py
    │   ├── requirements.txt
    │   └── gaze_tracking/
    │       ├── __init__.py
    │       ├── gaze_tracking.py
    │       ├── eye.py
    │       ├── trained_models/
    │       │   └── shape_predictor_68_face_landmarks.dat
    │       ├── pupil.py
    │       └── calibration.py
    ├── Proctoring_features/
    │   └── feature1.py
    ├── demo/
    │   └── assets
    ├── README.md
    └── src/
        └── main.py

🚀 Usage

🤝 Contributing

We warmly welcome contributions from developers of all skill levels! Here's how you can help:

graph TD
    A[Fork Repository] --> B[Create Branch]
    B --> C[Make Changes]
    C --> D[Commit Changes]
    D --> E[Push to Branch]
    E --> F[Create Pull Request]

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🎯 Good First Issues

• Look for issues tagged with good-first-issue
• Join our community discussions for guidance

👥 Community

• 💬 Join our Discord Server
• 🔗 Connect on LinkedIn
• 🐦 Follow us on Twitter
• 📧 Contact maintainers: [email protected]

🌟 Contributors

Thanks to these wonderful people:

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• All our amazing contributors
• Social Winter of Code for selecting our project
• FastAPI

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Made with ❤️ by the Guard AI Community

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## Contributing

Please refer to our CONTRIBUTING.md for contribution guidelines.