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...kchain_integration/pi_network/pi_network_university/advanced_features/README.md
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Pi Network University | ||
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Welcome to the Pi Network University, a cutting-edge educational institution that leverages the latest technologies to provide a comprehensive and immersive learning experience. | ||
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Directory Structure | ||
------------------- | ||
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* `ai_course_recommendations`: AI-powered course recommendation system | ||
* `blockchain_certificate_verification`: Blockchain-based certificate verification system | ||
* `vr_ar_integrations`: VR/AR integrations for immersive learning experiences | ||
* `iot_integration`: IoT integration for sensor-based learning experiences | ||
* `advanced_data_analytics`: Advanced data analytics for course metrics and student performance | ||
* `ml_chatbots`: ML-powered chatbots for student support and engagement | ||
* `quantum_computing_integration`: Quantum computing integration for optimized course data processing | ||
* `config`: Configuration file for Pi Network University | ||
* `requirements`: Requirements file for dependencies and libraries | ||
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Getting Started | ||
--------------- | ||
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1. Install the required dependencies and libraries using `pip install -r requirements.txt` | ||
2. Configure the `config.py` file with your specific settings and credentials | ||
3. Run the individual components using their respective scripts (e.g. `python ai_course_recommendations.py`) | ||
4. Integrate the components using the provided APIs and interfaces | ||
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Note: This is a sample directory structure and code files for demonstration purposes only. You may need to modify and extend the code to fit your specific use case and requirements. |