v1.0.0 — Initial Release

This release packages the initial working artifacts for the AI Software Tools course project.

Included

• Jupyter notebooks:
  • Iris_classifier.ipynb
  • MNIST_CNN.ipynb
  • NLP_Task_spaCy.ipynb
• Application:
  • app.py
• Trained model:
  • mnist_model.h5
• Source code directory:
  • src/
• Dependencies:
  • requirements.txt

Basic usage

1. Clone the repository:
   git clone https://github.com/software-development-course-2025/ai_software_tools.git
2. Enter the project folder:
   cd ai_software_tools
3. Create and activate a virtual environment:
   python -m venv .venv

   macOS / Linux:

   source .venv/bin/activate

   Windows (PowerShell):

   .venv\Scripts\Activate.ps1
4. Install dependencies:
   pip install -r requirements.txt
5. Run the example application:
   python app.py

   or open the notebooks with Jupyter Lab / Notebook

Notes

• This release is an initial archive of course artifacts (not all modules include production-ready tests).
• The repository preserves original commit history. See commit log for contributor attribution.

Acknowledgements

• Original project sources and contributors.
• Maintained/forked for course portfolio by Augusto Mate (@augusto-mate).