Insurance

Insurance Project for HyperGAI Insurance Project POC

Project Title

This project processes images and PDF files to extract structured data and provides a Streamlit interface for user interaction. The project also includes image preprocessing for enhanced image quality.

Table of Contents

• Introduction
• Installation
• Prerequisites
• Configuration
• Usage
• Streamlit Interface
• License

Introduction

This project is designed to process images and PDF files, extract structured data, and provide a user-friendly interface via Streamlit. It includes preprocessing steps to enhance image quality for better accuracy in data extraction. The project supports the analysis of two types of data:

1. Medical Reports
2. Invoices and Receipts

Installation

To install the required dependencies, run:

pip install -r requirements.txt

Prerequisites

Ensure you have the following installed:

• Python 3.8 or higher
• Required libraries listed in requirements.txt

Configuration

Before running the project, configure the necessary settings:

1. Set up your environment variables and configurations in my_config.py.

Usage

To start the application, use the following command for the respective data types:

Medical Reports

streamlit run Medical_Report/main.py

Invoices and Receipts

streamlit run Invoices_receipts/Invoice_Recipes_Demo.py

Streamlit Interface

The Streamlit interface allows users to upload images and PDF files, which are then processed to extract structured data. Follow these steps to use the interface:

1. Launch the Streamlit interface using the appropriate command above.
2. Upload an image or PDF file.
3. View the extracted data in the output section.

License

This project is licensed under the MIT License. See the LICENSE file for more details.