ML for Urban Planning

I got inspired from browsing Google and I happened to come across a Stanford's professor slides on remote sensing and satellite imagery. This inspired me to use the vision API to analyze land and then use inference APIs which predict what should be developed where to optimize land usage.

Basically above

I used google cloud platform to help me with a lot of things and tensorflow

Basically implementation and there were trying to put everything together

That I was able to pull this off

How to use google cloud platform to develop ML applications

What's next for ML for Urban Planning

Built With

• ai
• cloud-vision
• google-cloud
• inference-api
• machine-learning