Advanced Document Processing System

Overview

The Advanced Document Processing System is a web application designed to automate document extraction, classification, and validation.

Key Features

• Automated Document Classification: Uses NLP techniques to identify provider names, document types, states, expiration dates, and categories.

• Text Extraction: Supports OCR-based text extraction from images and scanned PDFs.

• Drag-and-Drop File Upload: Users can upload documents easily via a web interface.

• Real-Time Processing: Extracted data is processed instantly and categorized accordingly.

• Expiration Alerts: Users can set reminders based on document expiration dates.

Technologies Used

Frontend:

• React.js: Used for building the interactive UI.

Backend:

• Flask: Serves as the backend framework for handling API requests.
• Tesseract OCR: Extracts text from images and scanned PDFs.
• spaCy & NLTK: Utilized for natural language processing and text classification.
• PyMuPDF & pdf2image: Parses and processes PDF documents.
• Pillow: Handles image processing tasks.
• Flask-CORS: Enables secure communication between the frontend and backend.

How It Works

1. Upload a Document: Users can drag and drop or manually upload files (JPG, PNG, PDF, DOCX).
2. OCR & Text Extraction: The backend processes the document and extracts text using Tesseract OCR and PDF parsers.
3. Data Processing & Classification: The extracted text is analyzed with spaCy and NLTK to identify key details such as provider name, document type, and expiration date.
4. Automatic Categorization: The system assigns the document to the correct category based on predefined rules.
5. Expiration Date Handling: The system detects expiration dates and allows users to set reminders.
6. Result Display: Processed information is displayed on the frontend, where users can review and save the details.

Built With

• c
• c++
• css
• cuda
• cython
• fortran
• html
• javascript
• jinja
• jupyter-notebook
• meson
• powershell
• python
• roff
• shell