README.md

metadata

title: Automated Insurance Claim Validation System
emoji: 📄
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.27.0
app_file: app.py
pinned: false
license: mit

Automated Insurance Claim Validation System

This project automates the validation process for insurance claims using image processing and NLP techniques.

Features:

• Support for both PDF and image files
• Multiple page processing
• EasyOCR for reliable text extraction
• BERT-based text validation
• Document classification using pre-trained models
• Export results to Excel
• User-friendly Gradio interface

System Requirements:

• Python 3.9+
• Required Python packages (see requirements.txt)
• System dependencies: tesseract-ocr, poppler-utils

Installation:

pip install -r requirements.txt

Usage:

1. Upload an insurance claim document (PDF or image)
2. The system will:
   • Process all pages in the document
   • Extract text using EasyOCR
   • Validate the extracted text
   • Classify each page
   • Generate a downloadable report
3. Download the Excel report for detailed analysis

Models Used:

• OCR: EasyOCR
• Text Classification: DistilBERT (distilbert-base-uncased-finetuned-sst-2-english)
• Document Classification: Donut (naver-clova-ix/donut-base-finetuned-rvlcdip)

Live Demo:

Access the live demo at: https://huggingface.co/spaces/anoopreddyyeddula/Automated-Insurance-Claim-Validation-System