“Digital twin” is a trending buzzword at large industrial companies. But what is it? Through a concrete, small-scale application, you will learn how you can — but probably shouldn’t — build digital twins around your home.

1. A refresher on what a digital twin is.
2. What deploying a digital twin entails
   1. Gathering data from the real world with sensors
   2. Building a 3D model of the physical system you are creating a twin of
   3. Connecting the data to the 3D model in near real time to inform the users
   4. Maybe adding a little bit of Machine Learning or simulation (or just plain logic!) to the mix in order to do help the user make decisions, trigger alarms or suggest predictive maintenance operations.
3. Let’s solve a problem all of us in the room have one day or another. After a while, all doors start creaking. What if you could get a reminder to lubricate the hinges when the time is right? That would be a life-changing feature, right? Let’s go down the steps presented before and see how, in just a few hours, you can build a digital twin of a door in your house
   1. Gathering data from the real world using a Raspberry Pi
   2. Finding a relevant and free 3D model on Sketchfab
   3. Building a production-ready deployment of your digital twin in a couple minutes with AWS IoT TwinMaker.
   4. Teaching the Digital Twin when to let you know that it’s time to get that lubricant spray.