itemis/tflite-esp-template
Template to kick-start TinyML projects on ESP32
This template helps embedded systems developers quickly get started with TinyML projects on ESP32 microcontrollers. It provides a structured pipeline to collect data, preprocess it, train a TensorFlow model, convert it for embedded use, and then deploy it onto an ESP board for real-time inference. Developers working with IoT devices and resource-constrained environments will find this useful.
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Use this if you are a firmware developer or embedded systems engineer looking to integrate machine learning capabilities into your ESP32-based hardware.
Not ideal if you are not familiar with embedded C/C++ development, the ESP-IDF framework, or TensorFlow model training.
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 25, 2023
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