docs: Add dependency management and README files to all project directories

[Copilot]

This PR addresses the need for comprehensive dependency management and documentation across all project directories in the openfoodfacts-ai repository.

What's Changed

Added README.md files to 13 directories:

• GSoC2018/, circular-net-model/, data-quality/, front-image-classification/
• genai-features/, ingredient_extraction/, language_identification/, logo-ann/
• logo-classifier/, ml_utils/, object_detection/, ocr_cleaning/, price-tag-dection/

Added dependency management files to 16 directories:

• requirements.txt for most Python projects (GSoC2018, ai-emlyon, circular-net-model, data-quality, genai-features, ingredient_extraction, logo-classifier, object_detection, ocr_cleaning, price-tag-dection)
• pyproject.toml for complex projects following existing patterns (nutrisight)
• Meta requirements.txt for projects with existing subdirectory structure (logo-ann, front-image-classification)

Key Features

Consistent Documentation Structure:
Each README follows a standardized format with project description, installation instructions, usage examples, and file structure documentation.

Appropriate Dependency Management:

• Analyzed existing code to determine accurate dependencies
• Followed repository patterns (pyproject.toml for complex projects, requirements.txt for simpler ones)
• Respected modern Python packaging standards including PEP 723 inline dependencies
• Maintained compatibility with existing workflows

Comprehensive Coverage:

• 18/18 directories now have README files
• 17/18 directories have dependency management (ml_utils excluded as it contains only shell scripts)
• All projects now have clear installation and usage instructions

Examples

Simple Python project (data-quality/requirements.txt):

openfoodfacts>=0.2.0
requests>=2.25.0
typer>=0.12.0
tqdm>=4.60.0
redis>=4.0.0
backoff>=2.0.0

Complex project with modern packaging (nutrisight/pyproject.toml):

[project]
name = "nutrisight"
version = "0.1.0"
description = "Nutrition information extraction from food product images"
dependencies = [
    "transformers>=4.20.0",
    "datasets>=2.0.0",
    "evaluate>=0.4.0",
    # ... additional dependencies
]

The changes maintain backward compatibility while providing clear paths for new contributors to get started with any project in the repository.

Fixes #374.

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