Security threats and inefficiency remain significant concerns in today’s smart city infrastructure. As the adoption of smart technologies increases, so does the risk of advanced cyber-attacks, especially in systems where authentication delays and security gaps exist. These vulnerabilities and inefficiencies compromise not only the safety of digital systems but also the trust of users. This research focuses on developing an advanced, secure, and scalable authentication model tailored to address these growing concerns. The primary objectives of this study are to achieve low latency in authentication processes, ensure faster response times, and integrate a strong and intelligent security framework suitable for real-time applications. The research employs Object-Oriented Analysis and Design (OOAD) alongside a constructive research methodology, which involves the iterative implementation and modular development of the proposed solution. The system was built using the Python programming language, chosen for its flexibility and powerful libraries in AI and biometric integration. A Face ID authentication system was developed, utilizing eye iris recognition and enhanced with machine learning and biometric security models to ensure precision and reliability. The experimental phase of the research demonstrated the effectiveness of this approach. The Face ID system achieved an accuracy score of 95%, surpassing the One-Time Password (OTP) method, which recorded an 88% accuracy rate. Furthermore, the success rate during real-time use was 98% for Face ID compared to 85% for OTP. This indicates that Face ID authentication is significantly more sturdy, with a lower rate of failure and reduced risk of false positives or negatives. These findings underscore the significance of integrating biometric-based authentication systems in smart cities. The proposed model not only enhances security but also improves user experience by offering faster and more reliable access. This positions Face ID as a superior alternative for safeguarding a smart city infrastructures in a rapidly evolving digital landscape.