TinyML Deployment Issue

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Hi everyone,

I’m working on a project where I use TinyML to predict horse activity based on 6-axis accelerometer and gyroscope data. The data is collected via an ESP32-S3, and I’m trying to deploy a TensorFlow Lite (TFLite) model on an ESP32-S3 for real-time predictions.

However, I’m running into several library compatibility and deployment issues. Despite following standard TinyML deployment practices, the integration of the model with the ESP32-S3 seems problematic, especially when dealing with the TFLite Micro runtime. I’ve tried a few optimizations but still can’t get things running smoothly.

I’d appreciate any advice on:

  1. How to effectively deploy a TinyML model on ESP32-S3.
  2. Alternative approaches or tools that might work better for this use case.

Any tips, documentation, or experiences with similar setups would be a huge help!

Thanks in advance!

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