openclassroom-ai/oc-p03-openfoodfacts
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docs: clone HTTPS only, language banner at the top

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Public READMEs now expose a single git.gregoiremureau.com clone URL.
The Tailscale SSH form only works on the homelab network and leaked the
NAS address. The language switcher sits right under the title so an
English speaker landing on the French page can leave without reading French.
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Grégoire Mureau 2026-09-10 14:42:28 +02:00
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README.fr.md
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# Projet de Préparation de Données - OpenFoodFacts
📘 This project is also available in [English 🇬🇧](./README.md)
**Source de vérité** : https://git.gregoiremureau.com/openclassroom-ai/oc-p03-openfoodfacts
```bash
git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p03-openfoodfacts.git
git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p03-openfoodfacts.git
```
Dataset : voir `fetch-data.sh` (hors git si volumineux).
# Projet de Préparation de Données - OpenFoodFacts
📘 This project is also available in [English 🇬🇧](./README.md)
## 📋 Contexte du projet
Ce projet a été réalisé pour un organisme de santé publique souhaitant améliorer la **base de données collaborative OpenFoodFacts**. L'objectif est de préparer et d'analyser les données alimentaires pour faciliter la création d'un système d'aide à la saisie de produits par les utilisateurs, tout en respectant les principes du RGPD.

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README.md
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# Data Preparation Project - OpenFoodFacts
📘 Ce projet est également disponible en [français 🇫🇷](./README.fr.md)
**Source of truth** : https://git.gregoiremureau.com/openclassroom-ai/oc-p03-openfoodfacts
```bash
git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p03-openfoodfacts.git
git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p03-openfoodfacts.git
```
Dataset: see `fetch-data.sh` (outside of git if large).
# Data Preparation Project - OpenFoodFacts
📘 Ce projet est également disponible en [français 🇫🇷](./README.fr.md)
## 📋 Project Context
This project was carried out for a public health organization wishing to improve the **OpenFoodFacts collaborative database**. The objective is to prepare and analyze food data to facilitate the creation of a product entry assistance system for users, while respecting GDPR principles.