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Welcome to My Project Documentation
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*Revolutionizing Retail with AI-Powered Solutions*

On-Shelf Availability (OSA) Analysis
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*Intelligent Inventory Management for Modern Retail*

.. figure:: _static/title_image.jpeg
   :alt: OSA Analysis Presentation
   :width: 85%
   :align: center
   :class: presentation-image

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Project Team
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This innovative project was developed by a team of students passionate about artificial intelligence and its practical applications in the retail sector, under the supervision of a recognized expert in the field.

Team Members
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**Faris Amine** – *AI & Data Technologies Engineering Student*
   
   `LinkedIn Profile <https://www.linkedin.com/in/amine-faris-645096277/>`__

**Es-safi Abderrahman** – *AI & Data Technologies Engineering Student*
   
   `LinkedIn Profile <https://www.linkedin.com/in/abderrahman-es-safi-773739329/>`__

Project Supervisor
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**Prof. Tawfik Masrour** – *Professor, AI Expert*

   Research Director in Applied Artificial Intelligence
   
   Project Mentor & Academic Supervisor
   
   `LinkedIn Profile <https://www.linkedin.com/in/tawfik-masrour-43163b85/>`__

Project Details
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:Program: IADT-SI (AI & Data Technologies)
:Duration: January 2025 - June 2025
:Institution: ENSAM Meknès
:Field: Artificial Intelligence, Computer Vision, Retail Analytics

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Table of Contents
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This documentation provides comprehensive coverage of the On-Shelf Availability analysis project, from theoretical foundations to practical implementation.

.. toctree::
   :maxdepth: 2
   :caption: Documentation Sections
   :numbered:

   introduction
   data_documentation
   solution
   models
   app

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Getting Started
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.. note::
   
   **New to this project?** 
   
   We recommend starting with the **Introduction** section to understand the project scope, objectives, and problem statement before exploring the technical implementations.

.. tip::
   
   **Navigation:** 
   
   Use the table of contents above or the sidebar navigation to quickly access specific sections of the documentation.

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*"Advancing retail technology through intelligent automation and data-driven insights"*