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Aurion is a real-time cognitive observability and regulation system designed to monitor, visualize, and predict human cognitive states using structured telemetry. This demo shows the Aurion monitoring engine running in a development environment, processing live cognitive logs, generating predictions, and visualizing system behavior through a Streamlit dashboard. Aurion introduces the concept of cognitive telemetry — treating the human mind like an observable system with logs, metrics, dashboards, and early warning signals. Core features demonstrated in this video: • Real-time cognitive state detection • Confidence and focus score computation • Prediction of cognitive transitions • Streamlit neural command center dashboard • Live and replay cognition modes • Consent-based system control (OFF / OBSERVE / ACTIVE) • Lightweight monitoring engine architecture • Automation signal framework Aurion is not a chatbot and not a decision-making AI. It is a cognitive observability system designed to help humans understand and regulate their mental state safely over time. Built using: Python Gemini 3 based detection models Streamlit dashboard Structured cognitive logs This project explores the intersection of AI systems engineering, observability, and human cognition.