Abstract :

Secure user authentication has become a critical requirement for modern web applications due to the increasing number of cyber threats and identity theft incidents. Traditional authentication mechanisms such as passwords and PINs are vulnerable to brute-force attacks, phishing, and credential reuse. This project proposes a secure user authentication system using facial recognition integrated with full stack web development technologies. The system captures facial images through a web interface, extracts facial features using deep learning models, and verifies user identity in real time. By combining biometric authentication with secure backend processing, the proposed system enhances accuracy, usability, and security. The solution is scalable, user-friendly, and suitable for applications such as banking portals, e-governance platforms, and enterprise systems.