BioOps Twin

BioOps Twin is an enterprise-grade digital twin for laboratory centrifuge calibration, built for the Transforming Enterprise Through AI Hackathon. It addresses a critical gap in biochemical laboratories: centrifuge calibration is manual, error-prone, undocumented, and reactive — leading to damaged specimens, regulatory non-compliance, and costly downtime. Our solution combines Google Gemini 3.1 Pro as a cognitive engine with a real-time physics simulation to create an AI copilot that operators interact with through natural language. The system reads calibration manuals via a hybrid RAG pipeline (ChromaDB dense vectors + BM25 sparse search with Reciprocal Rank Fusion), simulates centrifuge physics (RPM → vibration → RCF), and recommends safe parameters — all autonomously. Key capabilities: • AI Calibration Agent: Gemini 3.1 Pro with structured function calling controls the centrifuge through validated commands. Shadow Mode ensures human-in-the-loop governance for regulatory environments. • Physics Engine: Analytical simulation with finite state machine (IDLE → RUNNING → ERROR → EMERGENCY_STOP), resonance detection, and Z-Score anomaly alerting. • Enterprise Security: All LLM traffic routes through Veea Lobster Trap proxy for deep prompt inspection, PII/PHI sanitization, and adversarial prompt detection. Immutable JSONL audit trail meets FDA 21 CFR Part 11 and EU GMP Annex 11 requirements. • Industrial IoT: MQTT telemetry publishing enables integration with SCADA/HMI systems. Statistical anomaly detection triggers predictive maintenance alerts before equipment failure. • Interactive 3D Digital Twin: Operators can upload custom .glb models via drag-and-drop to visualize their specific equipment in real time. BioOps Twin transforms calibration from a reactive, undocumented process into a proactive, AI-assisted, fully auditable workflow.