Creating a selfie verification program in JavaScript involves a combination of image processing, machine learning, and user interface design. Here's a step-by-step guide to building a robust selfie verification program:

### 1. **Core Requirements:**

- **Webcam Integration**: To capture selfies from the user's camera.
- **Facial Recognition**: To compare the captured selfie with a pre-existing reference image (e.g., a user profile picture).
- **Machine Learning Model**: For facial recognition and comparison (often using pre-trained models like OpenCV, face-api.js, or external services like AWS Rekognition or Microsoft Azure Face API).
- **Backend Verification**: To handle the logic, store data securely, and interact with a database.
- **User Interface**: To allow the user to take a selfie, view results, and handle errors (e.g., no face detected, low quality).