Implement Wi-Fi Sensing for Occupancy and Anomalies

implementationChallenge

Prompt Content

Develop a Python module to simulate Wi-Fi signal data processing (e.g., generating features from RSSI/CSI). Use these features to build a simple classifier for 'occupied' vs. 'unoccupied' states. Show how you'd use Pinecone to store vector embeddings of these patterns for rapid anomaly detection or contextual retrieval of past states.

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