Repository Reorganization: Improved Directory Structure

Description

This PR implements a comprehensive reorganization of the repository structure to improve maintainability, discoverability, and overall organization of our machine learning projects and resources.

Key Changes:

• Created dedicated docs/ directory for all documentation
  • Moved documentation files (README.md, LICENSE, etc.) to docs/
  • Organized documentation assets into docs/assets/
• Created structured projects/ directory with categorized subdirectories:
  • Detection Models
  • Prediction Models
  • NLP Projects
  • Recommendation Systems
  • Generative AI & LLMs
• Added comprehensive .gitignore file for ML/Python projects
• Improved file organization and reduced root directory clutter

Motivation:

The reorganization aims to:

• Make it easier for contributors to find and work on projects
• Improve documentation accessibility
• Create a more maintainable and scalable repository structure
• Follow best practices for ML project organization

Fixes #[Issue number for repository organization]

Type of change

• Added a new machine learning frameworks, libraries or software.
• Documentation update

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings

Additional Notes

The reorganization maintains all existing code and resources while improving their organization. All documentation resources (including ML Hub Learning Resources and Workflow charts) have been preserved and properly organized in the docs/assets/ directory.