Looking for someone who can help with building a neural net for TinyUX to interpret images of wireframes

I have created a mobile app for creating wireframes:
https://www.tinyux.app

Read about the history and progress over here:
https://www.indiehackers.com/product/tinyux

What I have in mind is that if you take a picture of a drawing of a wireframe, the app will immediately interpret it, and you can start manipulating buttons, boxes, change colors, texts, etc. I think this would be a killer feature that would get it a lot of users. This would then be the 'foot in the door' to build out the a more holistic UX tool, on multiple platforms, etc.

The challenge is quite complex, since there are many icons, attributes, an implicit grid in the drawing and explicit in the app.

Since wireframes can be generated, there is no lack of training data. I have build a simplified wireframe generator and can make it more elaborate.

TinyUX can export and import 'UX source code', it's like a CSV file with specific syntax. This text can be used in training and using the neural net.

Can you help out? I have no fixed plan on how we would collaborate, but open to suggestions.

#neuralNets #AI #UXdesign #UX #TinyUX