Notes & HowTo's covering the Raspberry Pi, Arduino, ESP8266, ESP32, etc.

Use this simple web-based tool to see data stored in an Internet of Things data service such as ThingSpeak

Multichannel display reading from Thingspeak.com visualizing using Highcharts.

Documentation and firmware for the SparkFun DataLogger IoT line of products.

A Smart Parking System made for the course of Embedded System Design. The system consists of a web app and tinkercad circuits simulator along with thingspeak.

BME280 webserver using Arduino Mega, Ethernet shield and 0.96 OLED screen

Air Quality Sensor using ESP32 with sensors SPS30, BME680 and OLED SSH1106 output + DashBoard WebServer + Logging to ThingSpeak

Internet of Things and Our Schools Environments

Handy scripts and configs for use with my HeaterMeter BBQ controller

Automatic Weather Station utilizes the ESP32 microcontroller and DFRobot Environmental Sensor to collect and transmit real-time environmental data, including temperature, humidity, and air quality metrics, to a web server for monitoring and analysis.

Project for Humidity & temperature sensor with DHT22 module and Wemos board

MapMyAir is a proof of concept system to visualize and predict air quality in your local neighborhood. MapMyAir uses the LoRaWAN(proprietary low-power wide-area network) to collect air quality metrics with custom hardware. The custom hardware is moved around your local area and collects data about the air. The collected data is formatted and for…

Weather Monitoring System using raspberry pi

iot matrix, controlled via a lolin d1 mini board, data fetched and pushed from and to Thingspeak (forked from https://github.com/jorydotcom/matrix-emoji/)

Iot enabled crop suggestion by monitoring microclimatic conditions

Zimmer Temperatur und Luftfeuchtigkeit messen

Merupakan PWA yang menampilkan data hasil pengukuran sensor kelembaban tanah YL-69 dan sensor piezoelektrik dari iframe Thinkspeak

This system basically monitors various parameters like heat index, soil moisture, temperature & humidity. Using IoT and respective sensors, the weather analysis is made available on the desktop through the website. The user will be able to access the updates through the website where he/she can view the information in the form of statistics.

An API code to fetch data from ThingSpeak storage environment and pass it into the respective ML model.