Implement Markdown File Generation and Recognition Model

[DMGiulioRomano]

We need to develop a new component for our project that will generate a .md file with a specific layout of points. The key features for this component are:

1. Model Training and Annotation Recognition:

   • Model Training:
     • Train a model to recognize the points from the TikZ-generated layout. The TikZ layout includes both coordinates and names of the points.
     • The model should learn to identify these points accurately from the existing layout data.

2. Annotation and Recognition:

   • After manual annotations (circling points of interest) are added to the printed TikZ-generated layout, these annotated files will need to be scanned.
   • Develop an intelligent model trained to recognize and interpret the circles or annotations around points in the scanned images.
   • The model should process these annotations and generate a new .md file reflecting the points of interest identified from the scanned annotations.

3. Acceptance Criteria:

   • The Markdown file must be properly generated and formatted to be interpreted by the Python script.
   • The recognition model must accurately identify the circled points and generate the corresponding Markdown file with the correct annotations.
   • The model must be trained to recognize points based on the TikZ-generated layout, including coordinates and names.

4. Additional Notes:

   • Consider using machine learning or computer vision techniques for the annotation recognition model.