The global NLP and AI translation is valued in tens of billions. Yet Haitian Creole spoken by over 12 million people remains of the most under-resourced languages in every major AI system. As an experienced Haitian Creole interpreter and translator with an interest in AI, I am documenting my Haitian Creole AI projects.
# haitian-creole-ai-projects
# Hi, I'm Jeffson St-Hilaire
🇭🇹 Haitian Creole Interpreter | Language Professional | AI Language Technology Builder
I am building the future of Haitian Creole language technology by combining professional interpretation expertise with Artificial Intelligence.
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## Mission
Haitian Creole is one of the most widely spoken Caribbean languages — yet it remains underrepresented in AI systems.
My mission is to:
- Improve Haitian Creole translation quality
- Build AI-powered language tools
- Create medical and professional terminology systems
- Bridge the gap between under-resourced languages and emerging technologies
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## What I'm Working On
🔹 AI-assisted Haitian Creole medical glossary tools
🔹 Translation quality evaluation experiments
🔹 NLP projects for under-resourced languages
🔹 Python-based language automation tools
🔹 Exploring fine-tuning and domain-specific translation models
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## Tech Stack
- Python
- Hugging Face
- OpenAI / Claude APIs
- NLP fundamentals
- Flask (for lightweight language apps)
- JSON-based terminology databases
Currently learning:
- Model fine-tuning
- Prompt engineering for translation systems
- Speech-to-text & text-to-speech integration
- Evaluation benchmarking for Creole translation quality
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## Areas of Interest
- Natural Language Processing (NLP)
- AI for under-resourced languages
- Medical translation systems
- Ethical AI in interpretation
- Language data engineering
- Terminology consistency automation
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## Why This Matters
In healthcare, legal systems, and emergency settings, translation errors can have serious consequences.
I believe small languages deserve:
- High-quality AI tools
- Reliable domain-specific systems
- Cultural and linguistic accuracy
This GitHub documents my journey building those tools publicly.
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## Current Focus
Building small, practical projects that:
- Solve real interpreter problems
- Improve terminology access
- Demonstrate AI capabilities in …