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--- |
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title: Automated Insurance Claim Validation System |
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emoji: 📄 |
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colorFrom: blue |
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colorTo: red |
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sdk: gradio |
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sdk_version: 5.27.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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# Automated Insurance Claim Validation System |
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This project automates the validation process for insurance claims using image processing and NLP techniques. |
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## Features: |
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- Support for both PDF and image files |
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- Multiple page processing |
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- EasyOCR for reliable text extraction |
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- BERT-based text validation |
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- Document classification using pre-trained models |
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- Export results to Excel |
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- User-friendly Gradio interface |
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## System Requirements: |
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- Python 3.9+ |
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- Required Python packages (see requirements.txt) |
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- System dependencies: tesseract-ocr, poppler-utils |
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## Installation: |
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```bash |
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pip install -r requirements.txt |
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``` |
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## Usage: |
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1. Upload an insurance claim document (PDF or image) |
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2. The system will: |
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- Process all pages in the document |
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- Extract text using EasyOCR |
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- Validate the extracted text |
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- Classify each page |
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- Generate a downloadable report |
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3. Download the Excel report for detailed analysis |
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## Models Used: |
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- OCR: EasyOCR |
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- Text Classification: DistilBERT (distilbert-base-uncased-finetuned-sst-2-english) |
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- Document Classification: Donut (naver-clova-ix/donut-base-finetuned-rvlcdip) |
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## Live Demo: |
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Access the live demo at: https://huggingface.co/spaces/anoopreddyyeddula/Automated-Insurance-Claim-Validation-System |
