README.md

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title: README
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license: cc-by-4.0
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short_description: Small Enough to Care Big Enough to Success
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# RSA Team

## About Us

RSA Team is an AI/ML research and development organization focused on advancing natural language processing capabilities for underrepresented languages, particularly those in the Balkan region. We build high-quality datasets, develop language models, and create tools that bridge the gap between cutting-edge AI technology and linguistic diversity.

## Our Mission

We are committed to democratizing AI technology by:

- **Building Language Resources**: Creating comprehensive datasets for Serbian, Bosnian, Croatian, and other Balkan languages
- **Advancing NLP Research**: Developing state-of-the-art models tailored for multilingual and low-resource language scenarios
- **Open Source Contribution**: Sharing our work with the global AI community to foster collaboration and innovation
- **Practical Applications**: Bridging research and real-world applications in healthcare, document processing, and enterprise systems

## Focus Areas

### Natural Language Processing
We specialize in NLP tasks including text classification, named entity recognition, machine translation, and sentiment analysis for Balkan languages.

### Multilingual AI Models
Our work emphasizes creating models that perform well across multiple related languages while preserving linguistic nuances and cultural context.

### Healthcare Technology
We develop AI-powered solutions for healthcare systems, including FHIR-compliant data processing, medical document analysis, and clinical decision support tools.

### Document Intelligence
Advanced OCR, information extraction, and document understanding systems with particular focus on multilingual document processing.

## Our Datasets

We curate and publish high-quality datasets designed for:
- Training and fine-tuning large language models
- Benchmarking NLP systems on Balkan languages
- Research in multilingual and cross-lingual transfer learning
- Building practical AI applications with strong language support

Each dataset includes comprehensive documentation, usage examples, and integration guidelines for popular ML frameworks.

## Technology Stack

Our projects leverage modern AI/ML technologies including:
- Transformers and large language models
- PyTorch and TensorFlow
- Hugging Face ecosystem
- FHIR standards for healthcare interoperability
- Full-stack development (Java, Python, Flutter, Oracle)

## Community & Collaboration

We believe in open collaboration and knowledge sharing. Whether you're a researcher, developer, or organization working on similar challenges, we welcome:

- Dataset contributions and improvements
- Model fine-tuning and evaluation
- Bug reports and feature requests
- Research collaborations
- Use cases and application feedback

## Contact

- Website: [https://rsateam.com](https://rsateam.com)
- GitHub: [@rsadevteam](https://github.com/rsadevteam)
- Hugging Face: [@rsateam](https://huggingface.co/rsateam)

## License

Unless otherwise specified, our datasets and models are released under permissive licenses to encourage both academic research and commercial applications. Please refer to individual repository licenses for specific terms.

## Citation

If you use our resources in your research or applications, please cite:
```bibtex
@misc{rsateam2026,
  author = {RSA Team},
  title = {Balkan Language Resources and Models},
  year = {2026},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/rsateam}}
}
```

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*Building bridges between languages and AI, one dataset at a time.*