VeriKYC: Robust KYC Verification Platform 🌍

VeriKYC is a web application designed to streamline the Know Your Customer (KYC) verification process for banking and financial institutions. It utilizes machine learning techniques to authenticate customers using their valid government-issued ID and real-time face recognition.

Demo Video 📹

Working.Demo.mp4

Features 🚀

• User Authentication: Register and log in securely to perform tasks within the system.
• Server-side Sessions: Maintain secure user sessions on the server for data privacy.
• Machine Learning-Based Verification: Utilize ML models for ID information extraction and face matching.
• Privacy Protection: No storage of ID information on the server.

Technology Stack ⚙️

• Node.js: JavaScript runtime environment.
• Express.js: Web application framework for Node.js.
• MongoDB Atlas: Cloud-based database manager.
• Bootstrap: Front-end framework for styling and responsiveness.
• EJS: Embedded JavaScript for dynamic HTML views.
• Joi: Library for form validation.
• Sanitize-html: Tool for HTML input sanitization.
• Passport.js: Authentication middleware.
• Oracle E2 Instance: Hosting platform for the ML API server.
• OCR: Extract details from ID cards using easy-ocr library.
• Face-Recognition: Perform face recognition using Python library.
• FastAPI: Framework for handling requests to and from the ML API server.

Getting Started 🛠️

1. Clone this repository.
2. Install Node.js and MongoDB.
3. Install dependencies: npm install.
4. Run the application: node app.js.

Contributing 🤝

Contributions are welcome! Feel free to fork the repository and submit pull requests.

License

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