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Passo a passo de como foi desenvolvido o projeto que mostra estatísticas de um canal do Youtube, feio com ESP32, MicroPython e a API do Youtube. 🐍 Repositório no Github com mais detalhes https://github.com/alvarowolfx/esp32-youtube-display ⭐️ Links relacionados ao MicroPython MicroPython: https://micropython.org/ ESPTool : https://github.com/espressif/esptool AMPy : https://github.com/pycampers/ampy Jupyter Notebook e tutorial que segui : https://towardsdatascience.com/micropython-on-esp-using-jupyter-6f366ff5ed9 Kernel MicroPython : https://github.com/goatchurchprime/jupyter_micropython_kernel.git Biblioteca para display : https://github.com/adafruit/micropython-adafruit-rgb-display 📹 Documentação de API do Youtube Documentação: https://developers.google.com/youtube/v3/docs/ Console de Desenvolvedor : https://console.developers.google.com/

Track your goods anywhere and anytime with a GPS tracker sending location data over mobile network to an awesome cloud and serverless architecture. One of the biggest problems logistics industry faces today is the tracking of assets and vehicles. We have a bunch of ways to resolve this problem, GPS and Cellular technologies have been around for a long time and in the most cases are enough to track a vehicle in almost real-time....

Uma introdução a nova plataforma de internet das coisas do Google, o Android Things, e como fazer dispositivos mais inteligentes e poderosos com ela, aliado de ferramentas de Machine Learning. O objetivo é cobrir o básico de como começar com a plataforma, passar alguns conceitos de Machine Learning e apresentar alguns projetos que podem ser feito com isso. Em especial será mostrado um projeto de máquina de doces inteligente, que utiliza o poder do Android Things, aliado com APIs de Machine Learning do Google, como a Cloud Vision API e o Tensorflow, para reconhecer imagens e que dar aos usuários doces se eles mostrarem os objetos corretos para a máquina. Palestra na Android Dev Conference 2017.

Collecting massive amount of data, with a managed and serverless architecture so you don’t get yourself burned in the process. Ok, there is a lot of tutorials teaching how to build a Weather Station because there many ways of doing it. It’s a simple project so I will try to focus on building an end to end solution, from collecting data to doing analytics on your data. All of it will use managed Google Cloud services, giving an overview on how to build a complete IoT solution....

A Candy Dispenser running Android Things, that exchange photos for candies. It uses computer vision to classify the image. https://github.com/alvarowolfx/ai-candy-dispenser https://www.hackster.io/alvarowolfx/android-things-a-i-candy-dispenser-a47e74