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In this paper, we provide a thorough method for developing and deploying an earthquake prediction and warning system that combines machine learning techniques with generally available, reasonably priced hardware, particularly the Raspberry Pi platform. The system allows for continuous environmental and seismic condition monitoring by combining an MPU-based accelerometer, a vibration sensor, and a BMP sensor that detects temperature, pressure, and altitude.

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Earthquake Prediction and Alerting System Using Machine Learning and Raspberry Pi

  • 会议论文

  • 发表日期：

    2026年

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  • Yogitha Sharma,
  • Karishma Palekar,
  • S. Mohan Kumar

摘要

In this paper, we provide a thorough method for developing and deploying an earthquake prediction and warning system that combines machine learning techniques with generally available, reasonably priced hardware, particularly the Raspberry Pi platform. The system allows for continuous environmental and seismic condition monitoring by combining an MPU-based accelerometer, a vibration sensor, and a BMP sensor that detects temperature, pressure, and altitude.