- Added `ModelFineTuner` class for preparing training data and fine-tuning models based on user corrections.
- Introduced `CodeValidator` class to validate generated code against various hardware and style rules, including safety checks and function naming conventions.
- Developed skills for calculator operations, system information retrieval, weather fetching, and timer functionality.
- Implemented a self-diagnostic skill to run unit tests and report results.
- Created a dynamic skill loading mechanism to discover and register skills from the current directory.
- Added unit tests for skills to ensure functionality and reliability.
- Introduced `run_buddai.ps1` to automate the setup and launch of the BuddAI server.
- Implemented checks for Docker and Ollama services, ensuring they are running before starting the server.
- Added model verification and automatic pulling of required AI models.
- Created a Python virtual environment and installed necessary dependencies.
- Configured firewall rules for port 8000 and provided options for remote access via ngrok or Tailscale.
- Enhanced user experience with informative messages and QR code generation for easy access to the server.
- Included logic to determine the best public URL for the server based on available network configurations.
