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- title: MedDocDigitizer
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- emoji: 💻
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- colorFrom: yellow
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- colorTo: purple
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- sdk: streamlit
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- sdk_version: 1.41.1
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- app_file: app.py
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- pinned: false
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  license: mit
 
 
 
 
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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+ sdk: streamlit
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+ colorFrom: red
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+ colorTo: blue
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+ emoji: ⚡
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+ # Medical Document Processor
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+ This is a Streamlit app for processing medical documents using **Gemini API** and **Tesseract OCR**. The app allows users to upload medical document images, extract text, classify documents, and generate structured PDF reports.
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+ ## Features
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+ - **Upload Medical Documents**: Upload images of medical documents (JPEG/PNG format).
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+ - **Text Extraction**: Extract text using **Tesseract OCR** and **Gemini API** for improved accuracy.
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+ - **Document Classification**: Classify documents into categories such as Lab Report, Prescription, etc.
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+ - **Structured Data Extraction**: Extract patient information, symptoms, vital signs, and medications.
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+ - **PDF Report Generation**: Generate a formal PDF report with all extracted information.
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+ - **EHR Viewer**: View the extracted data in a user-friendly Electronic Health Record (EHR) format.