vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

Lego Technik Hub Remote Control

Mind the “Uuh” – Train yourself to avoid using uuh fill words

Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.

The ALL Arduino Nano 33 BLE Sense Classifier is an experiment to explore how low powered microcontrollers, specifically the Arduino Nano 33 BLE Sense, can be used to detect Acute Lymphoblastic Leukemia.

This repo contains all the necessary files to build a MNIST TinyML application, that works with an OV7670 camera module and TFT LCD module.

🤖 Internet Of Things (CCF 351)

This repository showcases different methods to create a wireless communication between the Arduino 33 BLE/IoT boards and a PC.

Enhance your LED hula hoop performances with OpenHoop, an open-source Arduino Nano 33 BLE Sense Rev2 project. Immerse yourself in captivating pixel art displays powered by NeoPixel LEDs and controlled via Bluetooth HID protocol. Join our vibrant community and start your LED hula hoop journey now!

A holistic device for safer and smarter contactless elevator system using Embedded Machine Learning on an Arduino Nano 33 BLE Sense, complete with a deployable PCB and fire safety system pipeline.

Quadcopter flight controller

TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement

MoonMakers-Pinball in a game that works in the browser, where we use our Arduino Nano 33 BLE Sense, as a command to control the imposition of our ball thanks to AI.

Embedded machine learning for gesture recognition using Arduino Nano 33 BLE Sense. Includes source code for programming the board and notebooks for training the model.

Demostration for a low-power Wake-on-LAN solution using Arduino Nano and Raspberry Pi

Este repositorio presenta una variedad de proyectos que cubren aspectos fundamentales de la electrónica moderna, desde el uso de microcontroladores hasta la implementación de comunicaciones inalámbricas y el desarrollo de firmware. Cada proyecto aborda desafíos específicos y tecnologías relevantes.

The official repository of the paper Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware

Crop Prediction Using TinyML and Arduino Nano BLE 33 Sense

Algoritmos de machine learning para el trabajo de graduación de Ingeniería en Informática y Sistemas de la Universidad Rafael Landívar.