This Alexa voice-enabled smart mirror provides weather, traffic, & news. It also provides reminders, sends SMS messages and takes selfies.
Asset tracking is a trend, but this project intends to work in a decentralized way storing each action, event or alert in a blockchain.
Being a parent for the first time is a big challenge. With the Baby Night Activity Program and a lot of sensors, parents will have new help.
Use Alexa to control your Raspberry Powered Cat Feeder.
Build your own high-quality water sensor to monitor your pool or spa, using the Amazon Alexa to check on the status of your pool.
Use Alexa to control your Raspberry Pi Powered Cat Feeder. The cat feeder can also re-order cat food using Amazon DRS.
"Alexa, ask my thermometer to make yogurt." No fiddling with thermometer settings, Alexa can do it for you.
Get the best night's sleep by using Alexa and Arduino to monitor the conditions in your bedroom, make suggestions and help you sleep better.
This uses AMG8833 and HC-SR04 to measure temperature and give an output to Alexa, AWS DynamoDB, 1.44" TFT and LCD with a NodeMcu.
Internet controlled power strip with dimming capabilities
An RSL10 Sense DB based system that can monitor and control the temperature, humidity and light intensity by Smartphone app and Alexa.
Two wearable devices that become a fitness tracker using the NXP Rapid IoT prototyping kit, ESP8266 board and AWS. Alexa compatible!
Know your room environmental parameters (temperature, humidity, air quality, air pressure and light) by asking Alexa.
Anaphylactic Skin Reaction Detection during Chemotherapy
A simple Crowd Sensing application based on Amazon Web Services that determines the user activity through the smartphone's accelerometer
Example of a crowd-sensing IoT application that uses the sensors inside our smartphones to do human activity recognition.
In this article, I'll show you how to set up an IoT MQTT cloud-based system about a Human Activity Recognition web app
Helium powered IoT solution to track your best friends during Kennel services.
Set up a model for the User Activity Recognition with the Accelerometer sensor of the smartphone, using a crowdsensing IoT app.