Worked on enhancing real-time neuroimaging workflows across the mne-tools/mne-python and conda-forge/staged-recipes repositories. Developed a public LayeredMesh API in Python for efficient real-time brain visualization, enabling improved overlay management and shape validation within the Brain class. Integrated PyQt6 to streamline GUI support and aligned test requirements for cross-platform compatibility. Addressed Windows Unicode handling in testing by configuring environment variables, ensuring reliable text processing. Improved packaging and dependency management for MNE-RT, including Python version handling and metadata updates. Updated documentation to guide users through real-time feature extraction and adaptive protocols, supporting neurofeedback and BCI applications with YAML-based configuration.