VeriChain - Document Verification System using AI and Blockchain

Vision

VeriChain aims to revolutionize document verification by leveraging AI for text extraction and blockchain for secure, tamper-proof data storage. The system automates the identity verification process, improving efficiency, security, and scalability for entry and exit management systems.

Features

• AI-powered OCR: Uses the Gemini API for Optical Character Recognition (OCR) to extract text from document images.
• Blockchain Security: Employs the NeoX blockchain to store document data hashes using the SHA-256 algorithm, ensuring immutability and tamper-proof storage.
• Entry-Exit Automation: Automatically detects users upon entry or exit using the verified identity card, enabling seamless, touchless access control.
• Web-Based Interface: The front-end is built using HTML5, Tailwind CSS, JavaScript, and Bootstrap, ensuring a modern, responsive design.
• Privacy Protection: Only the hash of the document information is stored on the blockchain, ensuring user privacy while maintaining document authenticity.
• Scalability: The system can be expanded to support multiple document types and identities beyond the initial implementation of the Rise In X NeoX identity card.

Project Structure

.
├── .env
├── app.py
├── requirements.txt
├── README.md
├── document_verification.db
├── static/
│   ├── tailwind.min.css
│   ├── main.css
│   ├── favicon.jpg
│   ├── bootstrap.min.css
├── templates/
│   ├── index.html
│   ├── result.html
│   ├── upload.html
│   ├── verify.html
├── uploads/

How It Works

1. Document Capture: The user captures an image of their document (currently using the Rise In X NeoX identity card).
2. OCR Process: The AI-powered OCR extracts text from the document.
3. Hash Generation: The SHA-256 algorithm generates a hash from the extracted text.
4. Blockchain Storage: The generated hash is stored securely on the NeoX blockchain, ensuring tamper-proof storage.
5. Automated Detection: When the user enters or leaves the location again, the system automatically detects the card and verifies it against the stored hash.

ScreenShots

Technologies Used

• AI Gemini API: For Optical Character Recognition (OCR) to extract text from document images.
• NeoX Blockchain: Ensures secure, decentralized storage of document information hashes.
• HTML5: For structuring the web application.
• Tailwind CSS: For responsive and modern design.
• JavaScript: For handling the OCR process, hash generation, and blockchain interactions.
• Bootstrap: Provides a sleek, responsive user interface.

Deployment

You can Host it on Localhost using the given commands

To deploy the application locally:

1. Clone the repository and install requirements:

   git clone https://github.com/inder-26/verichain.git
   cd verichain
   pip install -r requirements.txt

2. Run app.py using python to interact with the system.

   python app.py

3. Open http://127.0.0.1:5000 after running app.py

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Future Enhancements

• Multi-Document Support: Extend the system to handle various types of documents, such as passports, driver's licenses, etc.
• Mobile App: Build a mobile application to allow users to scan and verify documents on the go.
• Advanced AI Integration: Improve OCR accuracy by integrating more advanced AI models.
• Global Blockchain Integration: Add support for multiple blockchain networks to enhance decentralization and security.

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Contributing

We welcome contributions! If you'd like to improve VeriChain, feel free to fork the repository, make your changes, and submit a pull request.

1. Fork the repository
2. Create a new branch (git checkout -b feature-name)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature-name)
5. Create a pull request

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License

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

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Contact

For questions or inquiries, please reach out at inder26112004@gmail.com.