Hey guys, great work. Overall, the flow is good, it's just imprecise in parts. Here are my notes, organised by paragraph:

1. Nice! Swap "helps" with "accelerates" or something else. Also specify "machine learning model" instead of "model". And "physical data" instead of "data". Remove "to later improve the technological product".

2. "Physical data", or "photos in an environment", or something to that effect. "Eliminates all biases" is not precisely true, I would say "Reduces biases in data collection methods, resulting in a more accurate machine learning model"

3. Remove "the". Swap "has been" for is. Great example, very relevant.

4. "from 3D objects to perfectly annotated and segmented 2D image dataset" could be the second half of the sentence, omitting the bounding box part. A link to BlenderProc GitHub repo would be nice. I would say that "BlenderProc allows us create rendering pipelines by piecing together modules with different functions. Some functions include randomizing the virtual camera placement, others apply textures to objects in the scene. These modules help change the final renders created by BlenderProc, which uses Blender internally to create these renders from the rendering pipeline defined by the modules."

5. Perfect.

6. Low fidelity "mock-up in Figma".

7. Not sure what this single bullet point is? Is it a placeholder? The first sentence reads well, but the technical stuff needs a rework. I would talk about the data and how it flows through the application. We could do a quick architecture diagram/ flow chart if you'd like.

8. Not sure

9. A summary paragraph is needed?