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README.md
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<!-- PROJECT TITLE -->
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<h1 align="center">DocVerifyRAG: Document Verification and Anomaly Detection</h1>
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<div id="header" align="center">
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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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## Higging Face configuration
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title: Docverifyrag
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emoji: 🐠
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colorFrom: indigo
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colorTo: indigo
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sdk: streamlit
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sdk_version: 1.33.0
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app_file: app.py
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pinned: false
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## Authors
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## Higging Face configuration
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---
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title: Docverifyrag
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emoji: 🐠
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colorFrom: indigo
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colorTo: indigo
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sdk: streamlit
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sdk_version: 1.33.0
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app_file: app.py
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pinned: false
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---
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<!-- PROJECT TITLE -->
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<h1 align="center">DocVerifyRAG: Document Verification and Anomaly Detection</h1>
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<div id="header" align="center">
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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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