.. _hello_sima:

Hello SiMa!
-----------

SiMa.ai's development ecosystem is designed to simplify the development of machine learning applications while maintaining the
flexibility and control required by ML and systems engineers. At the core of this process is `GStreamer <https://gstreamer.freedesktop.org/features/>`_, 
a powerful multimedia framework that serves as the foundation for application pipelines. :ref:`Understanding app pipeline <hello_sima_overview>` is crucial for building 
efficient and optimized applications on the SiMa.ai DevKit.


Developing your first application on SiMa.ai follows a structured workflow:

1. **Build the GStreamer Pipeline** – Define how data flows through your application, integrating models, transformations, and hardware optimizations.
2. **Package the Application** – Use SiMa.ai's SDK tools to package the pipeline into a deployable format.
3. **Deploy to the DevKit** – Run and evaluate your application on the target hardware, measuring performance and optimizing where necessary. In the case of Edgematic, the deployment is handled automatically to virtual hardware.

.. toctree::
   :maxdepth: 2
   :hidden:

   hello_sima/overview.rst
   hello_sima/run_demos.rst
   hello_sima/optimize_model.rst
   hello_sima/build_your_first_app.rst