Translations System Overview

Introduction

Translations play a critical role in ensuring that users across different regions can clearly understand and interact with the platform.

Third-party or browser-based translations often fail to provide accurate or context-aware results. To address this, we use a custom translation system that gives us full control over language rendering and phrasing.

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Key Objectives

• Provide accurate and context-aware translations
• Support region-specific language variations
• Allow lab-specific customization
• Ensure high performance and scalability

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Supported Modules

• LIMS
• Store
• Patient Portal
• Promotion

Each module supports:

• Default translations (region-based)
• Lab-specific overrides

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How It Works

1. Load default translations (region-based)
2. Apply lab-specific overrides
3. Merge both
4. Serve to frontend

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Storage Strategy

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Tech Stack

• Frontend: React + i18next
• Backend: Django (Python)
• Storage: AWS S3
• Cache: Redis
• Database: MySQL

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Next Steps

• Frontend Implementation
• Backend System
• Architecture
• Upload Process