Online Dashboard for authorities to watch COVID patient movements & mobile apps to give audio alert warning cue if a COVID patient is nearby
Android app to control Arduino inputs outputs via Bluetooth.
Keep that bad virus away from your safe zone. Build your own real-time thermal vision device to detect unwanted visitors at your door.
Temperature logger using ESP8266
Measure water quality in real time. Deploy sensors over a wide area, collect measurements, chart and analyze it.
Arduino calculator using 4*4 calculator.
Need an easy way to display your Particle.io device data? See your events easily using a Magic Mirror!
This project will let you build a simple heart rate monitor using the Arduino Nano and a few other components.
Android app to control Arduino's inputs outputs
Arduino counter of pulses with preset.
Data logging from two electricity meters (type "eHZ") simultaneously and store data (time and value of reading) to an SD card.
This project makes use of the preciseness of a laser beam, just one IR sensor and that good old arduino board to measure the RPM of motors.
A Humidity Recorder made with Arduino, control and display data with Android App, both Android and Arduino project are very stable.
I have created the project to capture Humidity and Temperature. OLED screen is compact and very bright.
Super easy project using an arduino uno to detect speed of various moving objects with the help of a pair of IR sensors and get the speed.
Simplest IoT temperature and humidity meter allow you to collect temperature, humidity, and heat index. Then send them to Adafruit IO.
Via WhatsApp, observe the daily coronavirus(COVID-19) case report of your country in a given period and get notified when there is a change.
PART II - An IoT system based on Amazon Web Service (AWS) that simulates an Environmental Station using RIOT-OS and MQTT-SN
A small device that will help you sorting resistors without wasting time with their color code.
Measure and record mains frequency on the SD card along with the timestamp.
To collect light intensity data and applying polynomial regression and ML algorithms to predict the light intensity trend using Bolt.
Despike/smooth data from a DHT22 with a median filter and display on a 0.96 inch OLED with the date and time from a DS3231 real-time clock!
The application is used to detect and store the signals from a MeC (Microbial Electrolysis Cell for hydrogen production)