Paper Title
NEXT-GENBIOMETRIC AUTHENTICATION: ADVANCING PASSWORDLESS SECURITY WITH AN IRIS RECOGNITION PROTOTYPE BASED AI SCANNER

Abstract
Biometric authentication develops as a modern authentication method which brings enhanced security while maintaining high functional performance compared to traditional password-based systems. The research develops a novel Iris Recognition Prototype-Based AI Scanner which implements sophisticated artificial intelligence technology with biometric logging to boost security measures. A proposed system uses iris recognition because it provides highly authenticating biometric data for establishing an effective passwordless authentication approach.The prototype applies contemporary AI-based image processing methods to analyze irises precisely without many incorrect identifications. Real-time processing allows the scanner to authenticate identity quickly within milliseconds thus delivering better authentication efficiency. Users can authenticate through smartphones with an encrypted system that enables secure remote login. This combination results in easier access and better convenience.The AI scanner enables effective solutions against identity fraud and unauthorized data breaches which validate its potential uses in banking institutions and healthcare organizations and corporate buildings in addition to home automation security. The investigation includes tests which assess how users can utilize this technology across diverse conditions and how it functions with adaptability across different industries.This advanced biometric authentication system released passwords from their vulnerabilities thus creating an enhanced protected and easy-to-use user experience for the future. The findings establish AI-enhanced iris recognition as a revolutionary digital security technology which sets the industry standard for passwordless authentication during the present smart technology era. Keywords - Biometric Authentication, Iris Recognition, Automation Security, Remote Login, Digital Security