Great question! A perfect entry-level Digital Twin project would be creating a twin of your personal workspace or home environment using IoT sensors and a visualization platform. For example:

• Use a Raspberry Pi with sensors (temperature, humidity, motion) to collect real-time data.

• Feed that data into a digital model built in Unity or a 3D dashboard like Node-RED or Thingworx.

• Add AI to predict behaviors—like when you'll need cooling or lighting based on your daily patterns.

It’s a great way to learn the entire lifecycle: data collection, modeling, syncing physical and virtual systems, and even basic predictive analytics.

Also, if you’re interested in how people are now using Digital Twins to create AI versions of themselves, I came across this really insightful breakdown:
👉 The Rise of Digital Twins – How People Are Creating AI Versions of Themselves
It gives a broader perspective on how personal and industrial twins are evolving fast.

Hope this helps! Let me know if you'd like links to tutorials or tools to get started.