Real-time Multimodal Spatial Audio-Visual Grounding Engine (inspired by Meta Ray-Ban & Meta Muse). Fuses 2D/3D visual bounding boxes, user head-pose gaze vectors, and acoustic beamforming azimuth angl
genpark-multimodal-spatial-audio-visual-grounding-skill
Production-Grade Real-Time Sensory Grounding & Enterprise Managed Agent Lifecycle Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
genpark-multimodal-spatial-audio-visual-grounding-skill provides industrial-grade capabilities engineered for next-generation Personal Multimodal Agents and Enterprise Workplace Execution. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
Real-time Multimodal Spatial Audio-Visual Grounding Engine (inspired by Meta Ray-Ban & Meta Muse). Fuses 2D/3D visual bounding boxes, user head-pose gaze vectors, and acoustic beamforming azimuth angles into cross-modal focal salience scores and resolves deictic spatial references.
- Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities. - Model Context Protocol (MCP) First: Fully compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, Ray-Ban smart glasses, and enterprise agent runtimes. - Deterministic & Safe: Structured JSON schemas, cryptographic verification, rigorous boundary validation, and real-time telemetry. - High Concurrency & Low Latency: In-memory caching, vectorized math approximations, and robust fault-tolerant state handling.
From the project README.
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