itemis/tflite-esp-template

Template to kick-start TinyML projects on ESP32

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Emerging

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.

No commits in the last 6 months.

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.

embedded systems IoT development firmware engineering microcontroller programming machine learning deployment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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18

Forks

4

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Jan 25, 2023

Commits (30d)

0

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