Progress Update: Digital Twin Integration Journey

 What I’d Do Differently:

1. Invest in a Raspberry Pi Electronics Kit:
   Instead of buying components individually, I’d opt for a complete electronics kit. I followed a YouTube tutorial from Kudzai Manditereza, purchased the DHT11 sensor and Raspberry Pi microcomputer, but overlooked essentials like a breadboard, resistor, and wires, assuming they’d be included.

2. Seek Node.js Help Earlier:
   Troubleshooting Azure Digital Twins Explorer took nearly two weeks due to persistent React and Node JS errors, I downgraded my version so many times before finding one that worked. Coming from a data analysis background, navigating front-end development was challenging. Next time, I’ll seek help earlier.

What I Didn’t Expect:

1. Digital Twin Landscape Insights:
   A LinkedIn search revealed many articles on the potential of Digital Twins but few real-world implementation examples.

2. Limited Industry Roles:
   Most opportunities seem concentrated in academic post-doc research rather than industry, though this might be influenced by my search algorithm.

What I'm Looking Forward To:

1. Writing SQL queries on Azure Digital Twins Explorer to establish relationships between temperature and humidity data.
2. Comparing Autodesk Tandem and Autodesk Forge to determine the better platform for integrating sensor data with a 3D model.
3. Learning API integration using Disruptive Studios Technologies and Postman—a sneak peak into tutorials suggest these platforms are more beginner-friendly.
4. Expanding my curiosity about using ArchiCAD Graphisoft to relay real-time data onto 3D models.

That’s where I am for now—excited to see what the next phase reveals!