"Silent Room Noise Detection"

"This dataset contains time-series noise telemetry collected from a Smart Study Room Noise Monitor built using an ESP32 and a sound sensor. Sensor readings were transmitted over USB serial to a local Python Flask backend and stored in SQLite. Each record includes timestamp, raw noise activity, smoothed signal, adaptive baseline, threshold values, and categorical status labels (Quiet, Moderate, Loud). Data was generated in a real indoor study-room environment to support analysis of acoustic patterns and threshold-based classification behavior. The dataset is useful for IoT monitoring research, edge analytics validation, dashboard benchmarking, and educational signal-analysis experiments. Historical logs are provided in CSV format for reproducibility and easy downstream processing. No personal identifiers are included. This dataset supports both real-time monitoring studies and offline trend analysis."