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An ESP32-based gas detection system utilizing an array of 16 sensors and TinyML for real-time monitoring and classification of gases like ethanol and acetone.
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This is a personal or educational project with no community traction (0 stars). It uses standard hardware (ESP32) and off-the-shelf TinyML libraries to implement a common IoT use case. While the 16-sensor array adds some complexity, it follows established patterns for embedded machine learning.
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