The final GUI looks like this,

This code is super old and was created when I was still learning about python environments and AI. This means the deployment code might not work on modern versions of libraries. The core data handling code however is fine. If you want to submit a pull request to fix the deployment and dev-environment stuff feel free to do so.

• First install Anaconda form > this link <.

• Clone this reposatory to a folder on your computer.

• To setup codding environment run start.bat.

  The script automatically sets up python and tensorflow in an anaconda environment called `kapstone`.
  
  ## Note
  The deployment is currently broken. Please run `main.py` instead and manually install the required dependencies when errors occour.
  
  Also, please manually download the required resources. The source links are available in the `README.md` files in the respective resource directory.
  

• After executed once, run start.bat again to open the Jupyter lab. Make new notebooks and files there as required.

Jupyter lab is currently not used in the project since I am creating the infrastructure for the application.

NOTE

The project has switched to a custom GUI using TKinter and easyGUI instead of using Jupyter lab. Run main.py in your conda environment.

If you want to develop, open the Code folder in your IDE as all files assume that Code is the root folder. This top level folder is only used to bundle Code and deployment folders.