blockly VS OpenCV

Perhaps blockly

https://developers.google.com/blockly

Unless it would contradict canon, every stage is very bright, highly interactive, full of pre-placed items, and so huge that you can usually run from your NPC opponents and enjoy exploring the stage in peace while they catch up to you. All buildings have Linux computers with actual internet access that allow you to program and print out your own projectiles/books/flags/UNO reverse cards/shinigami eyes/soupcans/cis TERF tears/masks/custom-made programs which can then be inserted into a different computer, but all without tracking any of your browser history; closets that you can enter; bookshelves containing the books mentioned in Masterpieces that you can either read in-game or throw to make random sentences/verses/comics from the book appear; and bathrooms with working mirrors that you can enter but their exact content and whether they're gendered or not depends on the stage.

Google made bockly It works with 5 languages. I think #C PHP and JavaScript. I know JavaScript for sure . But not sure about the others. blockly

And as a corollary, Blockly: https://developers.google.com/blockly

https://developers.google.com/blockly/ Blocky with Javascript

https://developers.google.com/blockly (Block programming, very good with helping learn the logic)

Another block environment Blockly does compile to Javascript, and you can add your own block sets and use it in your existing webapp as a sort of workflow programming tool

Referenceshttps https://www.kaggle.com/datasets/riyaelizashaju/skin-disease-image-dataset-balanced?fbclid=IwAR3wbTp8l5yo_5fx6HAX8Vd2-9cca3khAc8EiBGFObaALfdVid29IuB_rYE https://keras.io/api/applications/vgg/ https://www.tensorflow.org/tutorials/images/cnn?hl=th https://opencv.org/

Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

You'll need to plot the predictions. There are a few open source tools to do that, supervision is one you can use (https://github.com/roboflow/supervision) and opencv is another common option (https://github.com/opencv/opencv)

You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/).

The OpenCV4NodeJs A.I. library provides an interface for calling OpenCV routines in NodeJS.