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DAIPE by KOSASIH is licensed under Creative Commons Attribution 4.0 International

DAIPE

Decentralized Artificial Intelligence for Pi Network's Ecosystem

DAIPE: Decentralized Artificial Intelligence for Pi Network's Ecosystem

Objective

Develop a decentralized, AI-driven platform that integrates with Pi Network's blockchain to enhance its ecosystem's security, scalability, and usability.

Overview

DAIPE is a decentralized platform that leverages artificial intelligence and machine learning to improve the security, scalability, and usability of Pi Network's ecosystem. The platform is designed to be modular, scalable, and highly available, ensuring that it can handle the growing demands of the Pi Network community.

Features

  • Decentralized AI-driven threat detection: Utilize machine learning algorithms to detect and prevent threats to the Pi Network ecosystem.
  • Scalable architecture: Designed to handle high volumes of traffic and transactions, ensuring the platform remains responsive and efficient.
  • Usability enhancements: Provide a user-friendly interface for Pi Network users to interact with the platform and access its features.
  • Integration with Pi Network blockchain: Seamlessly integrate with the Pi Network blockchain to leverage its security and scalability.

Technical Requirements

  • Python 3.9.5
  • NumPy 1.21.2
  • pandas 1.3.5
  • scikit-learn 1.0.2
  • TensorFlow 2.7.0
  • Keras 2.7.0
  • pycryptodome 3.14.1
  • requests 2.27.1
  • websocket-client 1.3.2
  • pi-sdk 1.2.3

Getting Started

  1. Clone the repository: git clone https://github.com/KOSASIH/DAIPE.git
  2. Install the dependencies: pip install -r requirements.txt
  3. Run the platform: python main.py

Contributing

Contributions are welcome! If you'd like to contribute to the DAIPE project, please fork the repository, make your changes, and submit a pull request.

License

DAIPE is licensed under the Apache 2.0 License. See LICENSE for details.

Acknowledgments

  • Pi Network: For providing the blockchain infrastructure and community support.
  • Open-source contributors: For their contributions to the development of the platform.

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