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SOPDAP AI
  • 👋SOPDAP AI
  • Overview
    • 💡1.0 Introduction
      • 📘1.2 Purpose of the whitepaper
      • 📗1.3 Overview of Sopdap AI Token and platform
    • ✨2.0 Market Analysis
      • 📈2.1 Overview Of The AI And Content Generation Market
      • 📉2.2 Competitor Analysis
      • 🖲️2.3 Market Opportunities and Challenges:
    • 🪙3.0 Token Details
      • 3.1 Token Supply and Distribution:
      • 3.2 Token Economics and Use Cases:
      • 3.3 Token Functionality and Features:
      • 3.4 Technical Specifications and Compatibility
    • 🪤4.0 Sopdap AI Token Use Cases
      • 📔4.1 Overview of Use Cases
      • 🦹‍♂️4.2 Benefits to Users & Investors
      • 🦹‍♂️4.3 Examples of Use Cases
    • 🛣️5.0 Roadmap
      • ➡️5.1 Sopdap AI Roadmap:
      • 🏗️5.2 Development Milestones:
      • 🕟5.3 Future Plans:
    • 🧑‍🏫6.0 Team
    • 🔐7.0 Security and Risks
    • ⚖️8.0 Legal and Regulatory Compliance
    • 🤝9.0 Marketing and Adoption
    • 🙋10.0 Conclusion
    • 📚11.0 Appendices, Glossary, Reference, and Support Materials
      • 📝11.1 Appendices:
      • 🌐11.2 Glossary:
      • 📙11.3 References:
      • 🏅11.4 Supporting Materials:
  • Product Guides
    • 📪SOPDAP AI PLATFORM
      • 1.1 Purpose of the Document
      • 1.2 System Overview
    • 🥡2.0 System Architecture
      • ✳️2.1 High-Level System Architecture
      • 🔄2.2 Components and Modules
      • 🈂️2.3 Data Flow Diagram
  • Fundamentals
    • 🛠️Getting set up
      • 📝Setting permissions
      • 🧑Inviting Members
  • Use Cases
    • 🎨For Designers
    • 🖥️For Developers
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  1. Product Guides

2.0 System Architecture

The system architecture of the SOPDAP AI Platform is designed to ensure efficient and seamless operation while leveraging the power of artificial intelligence. This section provides an overview of the platform's architecture, including its high-level structure, components, modules, and data flow.

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Last updated 1 year ago

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