ExamIntellect: AI-Powered Online Exam Proctoring System

ExamIntellect is a comprehensive Python-based multi-agent AI system designed for online exam proctoring and personalized remedial help. It leverages advanced AI technologies to ensure exam integrity while providing tailored educational support.

Features

🛡️ Proctor Agent

• Real-time audio/video analysis
• Behavioral pattern detection
• Suspicious activity flagging
• Integration with Gemini LLM for pattern analysis

📚 Tutor Agent

• Post-exam performance analysis
• Personalized learning plan generation
• Tailored resource recommendations
• Adaptive remedial content creation

📧 Communication Agent

• Incident summarization and reporting
• Automated email/API notifications
• Feedback generation and dispatch
• Comprehensive session reports

🔍 Additional Features

• Session management with long-term student flagging
• Streamlit dashboard for real-time observability
• Integration with Google API and OpenAI for fact-checking
• Modular architecture for easy extension
• Full documentation and demo hooks

Installation

1. Clone the repository:

git clone https://github.com/yourusername/examintellect.git
cd examintellect

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables: Create a .env file with your API keys:

GEMINI_API_KEY=your_gemini_key
OPENAI_API_KEY=your_openai_key
GOOGLE_API_KEY=your_google_key
[email protected]
EMAIL_PASS=your_email_password

Usage

Running the System

python main.py

Starting the Dashboard

streamlit run dashboard/app_final.py

Demo Walkthrough

python demo/demo_script.py

Project Structure

examintellect/
├── src/
│   ├── agents/
│   │   ├── proctor_agent.py
│   │   ├── tutor_agent.py
│   │   └── communication_agent.py
│   ├── integrations.py
│   ├── session_manager.py
│   └── __init__.py
├── dashboard/
│   └── app_final.py
├── demo/
│   └── demo_script.py
├── main.py
├── requirements.txt
├── README.md
├── .gitignore
└── LICENSE

Architecture

ExamIntellect uses a multi-agent architecture where each agent specializes in a specific aspect of the exam proctoring and educational support process:

• Proctor Agent: Handles real-time monitoring and analysis
• Tutor Agent: Provides personalized educational interventions
• Communication Agent: Manages reporting and notifications
• Session Manager: Maintains long-term student profiles and flags
• Integrations Module: Handles external API calls and LLM interactions

API Integrations

• Gemini LLM: For advanced pattern analysis and feedback generation
• Google API: For fact-checking and additional verification
• OpenAI: For content generation and analysis

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

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

Demo

Check out our demo video walkthrough to see ExamIntellect in action!

Contact

For questions or support, please open an issue on GitHub.

ExamIntellect