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facial-authentication

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The login system utilizes face recognition technology for registration and login. It captures and stores facial data, allowing users to authenticate by matching their faces with the registered data. This secure and convenient approach eliminates the need for passwords and offers scalability for a large user base.

  • Updated Jun 6, 2023
  • Python

AI-powered Face Authentication System for NIT Trichy, leveraging FaceNet and Computer Vision for secure identity verification, automated attendance management, and real-time authentication. Designed for scalable institutional deployment with cloud-backed analytics and role-based administration.

  • Updated Jul 2, 2026
  • TypeScript

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