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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).