Use your Raspberry Pi to set up an open-source inventory management system written in PHP with a MySQL database.
Publish your Arduino input in real-time so it can be accessible on the internet without taking care of server side.
Get an input for your Arduino from the cloud without taking care of server side.
View a live webcam feed via a webpage implemented on the Ultra96v2.
It's a robot cat toy that starts when motion detection and object recognition confirm a cat is present. It also has a camera & web app.
Use MicroPython to connect your M5Stack to WiFi or a device to AP and create a simple web page to control some functions of the M5Stack.
This project is a Web Application builder and a base source code for esp8266 and esp32 wifi modules+ the chain local OTA network feature.
The Second Build is Done..Now for the BRAINS
6-node Elasticsearch cluster
Proxy app deployed on Raspberry Pi using K3s light-weight Kubernetes.
Sensor-based presence detection for individual workstations: capturing occupancy trends and space utilization in real-time.
Print your photos from your smartphone or computer on a little thermal printer. Adafruit Huzzah ESP8266 and micro thermal printer.
the new ESP8266 WiFi works with arduino IDE, this ESP8266 comes with UART,I2C and GPIO. can be programmed directly from arduino IDE
A cloud-based IoT system that collects information from a set of virtual environmental sensors using the MQTT protocol and AWS IoT Core.
Electronic scoreboard for your foosball table that shows the live score on your phone.
A cloud-based IoT system that collects virtual sensors data from RIOT-OS nodes, using MQTT-SN and MQTT protocols, and AWS IoT Core.
Take advantage of the Ultra96 by adding your own web applications.
Here I present you the best guide for using IBM Watson IoT Platform and how to develop WEB applications with IoT devices.
Build a "smart container app" to monitor food shipments with NB-IoT, Node and Pusher.
This is a magnetic lock for my home office, that opens if you know the secret knock. Oh… and it has a few more tricks too.
In this project, we will see how to use TensorFlow & streamlit to build plant disease detection model
RIOT-OS application on IoT-LAB sending virtual/real sensors' values to TTN via LoRaWAN, and the TTN-AWS IoT integration.
Set up a RIOT-OS application on real devices, connect them to The Things Network via LoRaWAN and publish the values on AWS.
Setup an IoT MQTT cloud based system, including sensors, a database and a website using Amazon Web Service (AWS)
