Document Verifier Project

This project is a Django application designed to convert images of documents, such as Aadhar cards and PAN cards, into text. It verifies the extracted information against a MySQL database and automates the process of verification and data correction. Alerts are sent for admin approval upon detecting errors.

Features

• Image upload and processing using Tesseract for Optical Character Recognition (OCR).
• Data verification against a MySQL database.
• Automated error detection and correction suggestions.
• Admin alerts for manual approval of corrections.

Technologies Used

• Django: Web framework for building the application.
• Tesseract: OCR engine for text extraction from images.
• OpenCV: Library for image processing.
• NumPy: Library for numerical operations on images.
• spaCy: NLP library for text validation and correction.
• MySQL: Database for storing user and document information.

Setup Instructions

1. Clone the repository:

   git clone <repository-url>
   cd doc-verifier
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Configure the database: Update the DATABASES setting in doc_verifier/settings.py to connect to your MySQL database.

5. Run migrations:

   python manage.py migrate
   

6. Start the development server:

   python manage.py runserver
   

7. Access the application: Open your web browser and go to http://127.0.0.1:8000/verification/.

Usage

• Upload images of Aadhar cards or PAN cards through the web interface.
• The application will process the images, extract text, and verify the information.
• Admins will receive alerts for any discrepancies that require approval.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any enhancements or bug fixes.

License

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