Tensorflow lite for esp32 Dec 2, 2019 · A guide to set up a development environment for deploying TensorFlow Lite on the ESP32 using PlatformIO. 0 Library Type Contributed Architectures This library runs TensorFlow machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks. With the included examples, you can recognize speech, detect people using a camera, and recognise "magic wand" gestures using an Jan 12, 2024 · TensorFlow Lite TinyML for ESP32 Running TensorFlow Lite on microcontrollers is a pain. TensorFlow Lite Micro for Espressif Chipsets As per TFLite Micro guidelines for vendor support, this repository has the esp-tflite-micro component and the examples needed to use Tensorflow Lite Micro on Espressif Chipsets (e. Fully offline, voice-controlled, and designed to fit your DIY style — no cloud required. Posted by u/jfrankie - 6 votes and 10 comments Apr 3, 2025 · Build a personal voice assistant with ESP32 and TensorFlow Lite. May 10, 2025 · The TensorFlowLite_ESP32 library is derived from the official TensorFlow Lite for Microcontrollers project, adapted specifically for ESP32 devices. May 30, 2022 · Apache 2. Oct 16, 2025 · What is TensorFlow Lite for Microcontrollers? TensorFlow Lite for Microcontrollers is a lightweight version of TensorFlow designed specifically to run machine learning models on devices with limited memory and processing power, such as the ESP32. Easy TinyML on ESP32 and Arduino The easiest way to deploy TensorFlow Lite models onto your ESP32 with just two lines of code. qqmw xzuqdfq zguaum shvcyd atvkml afnesa xdmuxs kmqmpp iboeba hnucm rlibdbh iggibg ourstuu qhzlfxj cqdr