Preserving Dayak Kenyah Language Through Modern Technology

Dayak Kenyah Translator Pro is a bi-directional translation application between Indonesian and Dayak Kenyah languages. This project aims to preserve local languages through modern technology and make the Dayak Kenyah language more accessible to younger generations.

• 🔄 Bi-directional translation (Indonesian ↔ Dayak Kenyah)
• 💡 Smart multi-word matching
• 🌙 Dark/Light Mode
• 📱 Responsive on all devices
• ⚡ High performance with local processing
• 🔌 Available in ESP32 and Local Host versions

• Python 3.8+
• Node.js 14+
• Docker (optional)

# Clone repository
git clone https://github.com/yourusername/dayak-kenyah-translator-pro.git
cd dayak-kenyah-translator-pro

# Install dependencies
pip install -r requirements.txt

# Run the application
python main.py

This application supports deployment using Docker with two options: CPU-only and GPU-accelerated (CUDA). Choose the mode that matches your hardware.

• NVIDIA GPU Driver
• NVIDIA Container Toolkit
• Docker with GPU support

# Build for CPU (default)
docker build -t dayak-translator .

# Build for GPU/CUDA
docker build --build-arg USE_CUDA=1 -t dayak-translator-gpu .

# Run CPU version
docker run -d --name dayak-translator -p 8000:8000 dayak-translator

# Run GPU version
docker run -d --name dayak-translator-gpu --gpus all -p 8000:8000 dayak-translator-gpu

• 🔄 Auto-detection of GPU/CPU mode
• 🛡️ Security-enhanced with non-root user
• 🏗️ Multi-stage build for optimal image size
• 🔍 Built-in health check
• 📊 Environment variable customization

# Check container status
docker ps -a

# View logs
docker logs dayak-translator

# Check resource usage
docker stats dayak-translator

1. GPU Mode

# Verify GPU detection
docker run --gpus all nvidia/cuda:12.0.0-base-ubuntu22.04 nvidia-smi

2. Container Logs

# View detailed logs
docker logs -f dayak-translator

3. Health Check

# Check container and health status
docker inspect dayak-translator | grep -i health

• Python (Backend)
• HTML5, CSS3, JavaScript (Frontend)
• Docker
• ESP32 (for embedded version)

• POST /translate
  • Body: {"text": "text to translate", "direction": "id2dyk|dyk2id"}
  • Response: {"result": "translated text"}

Contributions are always welcome! See CONTRIBUTING.md for guidelines.

This project is licensed under the MIT License - see the LICENSE file for details.

This project is developed from:

• Dayak Kenyah Translator ESP32 by Muhammad Rizky Saputra
• Dayak Kenyah Translator Local by Muhammad Bilal Maulida