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README.md
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Access the web interface and follow the prompts to upload documents, classify them, and verify metadata. The AI-powered anomaly detection system will automatically flag any discrepancies or errors in the document metadata, providing accurate and reliable document management solutions for hospitals.
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### Hugging Face config
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---
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title: DocVerifyRAG
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emoji: 🐠
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colorFrom: pink
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colorTo: green
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sdk: streamlit
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sdk_version: 1.27.0
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app_file: app.py
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pinned: false
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---
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## Authors
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| Carlos Salgado | [GitHub](https://github.com/salgadev) |
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| Abdul Qadeer | [GitHub](https://github.com/AbdulQadeer-55) |
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## License
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[](https://github.com/eliawaefler/DocVerifyRAG/blob/main/LICENSE)
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____
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---
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title: DocVerifyRAG
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app_file: app.py
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pinned: false
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Access the web interface and follow the prompts to upload documents, classify them, and verify metadata. The AI-powered anomaly detection system will automatically flag any discrepancies or errors in the document metadata, providing accurate and reliable document management solutions for hospitals.
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## Authors
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| Carlos Salgado | [GitHub](https://github.com/salgadev) |
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| Abdul Qadeer | [GitHub](https://github.com/AbdulQadeer-55) |
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---
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title: DocVerifyRAG
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app_file: app.py
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pinned: false
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---
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## License
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[](https://github.com/eliawaefler/DocVerifyRAG/blob/main/LICENSE)
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