Add implementation plans for non-implemented items

[ProjectZeroDays]

Add detailed implementation plans for non-implemented items in future_implementations_plan.md.

• Ensuring Seamless Communication Between Modules
  • Add detailed steps for improving communication mechanisms between modules.
• Integrating Device-Specific Control Panels
  • Add detailed steps for implementing and testing device-specific control panels.
• Enhancing Device Control Features
  • Add detailed steps for improving device control features.
• Integrating AI Modules with Dashboards
  • Add detailed steps for integrating AI modules with dashboards.
• Maximizing the Potential of Offensive and Defensive Modules
  • Add detailed steps for improving offensive and defensive modules.
• Improving User Friendliness, Visualizations, and UI/UX
  • Add detailed steps for enhancing UI/UX and visualizations.
• Adding Advanced Help Options and Features
  • Add detailed steps for implementing advanced help options.
• Including a Continue Button for the AI Chatbot
  • Add detailed steps for implementing a continue button for the AI chatbot.
• Including a Download Icon Button for Downloading Zip Files
  • Add detailed steps for implementing a download icon button.
• Ensuring All Development Projects Include file_structure.txt Files
  • Add detailed steps for implementing file_structure.txt files.
• Ensuring AI Provides the Most Advanced Code Logic
  • Add detailed steps for improving AI-generated code logic.
• Adding Microsoft GitHub's CoPilot as an AI Participant
  • Add detailed steps for integrating CoPilot as an AI participant.
• Including a Share Icon Button for Sharing Conversations
  • Add detailed steps for implementing a share icon button.
• Reviewing Framework Files for Inaccessible Components
  • Add detailed steps for improving framework components.
• Providing Advanced vLLM Functionality and Integration
  • Add detailed steps for implementing advanced vLLM functionality.
• Building a Custom Dashboard for Monitoring and Training vLLM Models
  • Add detailed steps for implementing a custom dashboard for vLLM models.
• Adding Free Pre-Configured, Pre-Trained vLLM Models
  • Add detailed steps for implementing pre-configured vLLM models.
• Assigning a Pre-Trained Custom vLLM to Train, Tune, Monitor, and Deploy vLLM Models
  • Add detailed steps for implementing a pre-trained custom vLLM.
• Assigning a Pre-Trained vLLM Model to Monitor Resource Usage, Threat Detection, Evasion, and Deployment of Automated Tactics
  • Add detailed steps for implementing a pre-trained vLLM model.
• Adding a Dashboard and Main Dashboard Widget for Management of Advanced Enhanced Cyber Espionage Tactics and Modules
  • Add detailed steps for implementing a dashboard and widget for cyber espionage tactics.
• Implementing Advanced AI-Driven Asynchronous Processing for Network Traffic Monitoring
  • Add detailed steps for implementing AI-driven asynchronous processing.
• Implementing Advanced AI-Driven Resource Management Techniques to Limit Concurrent Tasks
  • Add detailed steps for implementing AI-driven resource management techniques.
• Implementing Advanced AI-Driven Optimization of Real-Time Monitoring Performance
  • Add detailed steps for optimizing real-time monitoring performance.
• Ensuring Proper Initialization of All Modules
  • Add detailed steps for improving module initialization.
• Implementing Best Practices for Integrating Message Queues
  • Add detailed steps for integrating message queues.
• Optimizing the Performance of the RealTimeMonitoring Module
  • Add detailed steps for improving the RealTimeMonitoring module.
• Implementing Advanced AI-Driven Dynamically Adjusted Alert Thresholds Based on System Load
  • Add detailed steps for implementing dynamically adjusted alert thresholds.
• Implementing Efficient Algorithms for Advanced AI-Driven Anomaly Detection
  • Add detailed steps for implementing anomaly detection algorithms.
• Implementing Efficient Algorithms for Advanced AI-Driven Evasion Tactics
  • Add detailed steps for implementing evasion tactics.
• Implementing Efficient Algorithms for Advanced AI-Driven Deception Technology and Deployment Tactics
  • Add detailed steps for implementing deception technology and deployment tactics.
• Implementing Asynchronous Processing Using asyncio and aiohttp
  • Add detailed steps for implementing asynchronous processing.
• Implementing Advanced AI-Driven Resource Management Techniques to Optimize Memory Usage
  • Add detailed steps for optimizing memory usage.
• Handling Device-Specific Errors
  • Add detailed steps for improving error handling.
• Creating Unit Tests for New Device Control Features
  • Add detailed steps for implementing unit tests.
• Providing Unit Tests for All Dashboards, Modules, Features, and Functionalities
  • Add detailed steps for implementing unit tests.
• Enhancing Performance for Real-Time Monitoring
  • Add detailed steps for improving real-time monitoring.
• Further Improving AI Integration
  • Add detailed steps for improving AI integration.
• **Implementing Automated, Advanced, and

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For more details, open the Copilot Workspace session.