Smart Garden is a plant environmental monitoring system.
A system that tells you about the parking slots of an area.
Control home appliances over internet. This IOT project done using Node MCU ESP8266 and BLYNK app. Control devices from anywhere.
A BBQ thermometer with 4 separate probes. Control settings, monitor progress, and get notifications on your phone.
A IoT system which helps you control your home lights from anywhere in the world in real time.
A lamp which changes color according to the tweets of people.
Self-stabilizing spoon for Parkinson's sufferers who have difficulty eating on their own because of serious tremors.
Waterman is a device in form of a box which will check the contamination level of water and also the availability of water in the pipeline.
Getting started with Blynk Bridge - the simplest method to communicate between ESP8266, Arduino or Raspberry Pi.
Remotely we control our home with MKR1000 and IOT of Blynk. We can manage the boiler, the 'anti-theft irrigation, open the Automatic Gate.
Chunchunmaru is an Arduino UNO-based robot which can carry heavy loads (100kg-200kg) from one location to another.
How to (and not to) build your own home automation system.
A simple 4 channel design/program for monitoring orchid and plant moisture levels.
Control your Home Lights using the Twitter platform.
saving water smartly.
Create a shield of control with multiple sensors to create visual and sound notifications in case of danger.
Save time by knowing whether the Faculty is in his chamber or not.
This is a project for measuring the AC current of a device plugged into the outlet and data feedback using Blynk with OTA.
This turns on a bathroom fan automatically when its humid.
Open, close and monitor a garage door opener with a smart phone using a Particle Photon and the Blynk application.
This project brings a pre-IoT audio receiver up to speed using Blynk and a TI Launchpad to send IR signals through WiFi from an iPhone.
This battery charger monitor uses an OLED display & Blynk to show you its charge current, bus voltage, load voltage & elapsed time.
Using an accelerometer, we detected angular acceleration. With this data we used a particle photon to notify the user via a Blynk dashboard.
This Robot cleans floors very efficiently !!:)
