Insurance Document Intelligence Platform

End-to-end RAG system for insurance document Q&A with automated OCR data extraction

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Project Overview

The Insurance Document Intelligence Platform is a cutting-edge AI-powered solution designed to revolutionize how insurance companies process and extract information from documents. Using advanced OCR technology combined with Retrieval-Augmented Generation (RAG), the platform enables automated document processing, intelligent Q&A capabilities, and seamless data extraction from insurance policies, claims, and related documents.

Live Demo Coming Soon

Interactive demonstration of the Insurance Document Intelligence Platform will be available here

Key Features

OCR Document Processing

Advanced optical character recognition using Tesseract and EasyOCR to extract text from scanned insurance documents with high accuracy.

RAG-based Q&A System

Intelligent question-answering system powered by LangChain and OpenAI GPT-4, enabling natural language queries on insurance documents.

Vector Database Storage

Efficient document embeddings storage using ChromaDB and FAISS for fast semantic search and retrieval.

Automated Data Extraction

Automatically extract key information from insurance documents including policy numbers, dates, amounts, and clauses.

Semantic Search

Find relevant information across thousands of documents using natural language queries with context-aware results.

Secure Processing

Enterprise-grade security for handling sensitive insurance documents with data encryption and access controls.

Technology Stack

LangChain OpenAI GPT-4 Tesseract OCR EasyOCR ChromaDB FAISS Python FastAPI OpenCV

System Architecture

Document Processing Pipeline

  1. Document Upload: Users upload insurance documents (PDF, images)
  2. OCR Processing: Tesseract/EasyOCR extracts text from documents
  3. Text Preprocessing: Clean and structure extracted text
  4. Embedding Generation: Convert text to vector embeddings using OpenAI
  5. Vector Storage: Store embeddings in ChromaDB/FAISS
  6. Query Processing: User queries are converted to embeddings
  7. Semantic Search: Find relevant document chunks using vector similarity
  8. LLM Response: GPT-4 generates contextual answers using retrieved chunks

Use Cases

Policy Analysis

Quickly extract and analyze policy terms, coverage details, and exclusions from insurance documents.

Claims Processing

Automate claims document processing and extract relevant information for faster claim resolution.

Compliance Checking

Verify policy compliance and identify missing or incorrect information in insurance documents.

Customer Support

Enable customer service teams to quickly answer policy-related questions using natural language.

Business Benefits

  • 70% Reduction in document processing time
  • 95%+ Accuracy in data extraction
  • 24/7 Availability for document queries
  • Scalable to handle thousands of documents
  • Cost Effective compared to manual processing
  • Improved Customer Experience with instant answers

Planned Enhancements

Multi-language Support

Expand OCR and Q&A capabilities to support multiple languages including Arabic.

Analytics Dashboard

Real-time analytics on document processing, query patterns, and system performance.

Mobile Application

Native mobile apps for on-the-go document scanning and querying.

Get in Touch for Demo