Paper Title
Facial Identity Assurance and Secure Authentication Systems

Abstract
The Significant issues like data breaches, spoofing attacks, and the inadequacies of conventional techniques have been brought to light by the growing demand for safe and private facial verification systems. In order to tackle these problems, we provide a browser-based facial authentication system that guarantees strong security, user privacy, and smooth operation without requiring any hardware. For facial recognition and liveness detection, our system uses sophisticated artificial intelligence (AI) algorithms. For end-to-end data encryption, we use cryptographic techniques like the Advanced Encryption Standard (AES). AES protects private data from unwanted access, and obfuscation methods shield AI models from manipulation and reverse engineering. While preserving user confidentiality and transaction integrity, the lightweight architecture maximizes performance in browser contexts. By combining state-of-the-art AI, AES encryption, and obfuscation, this system provides a safe, effective,and privacy-compliant framework ideal for large-scale applications, addressing the growing need for reliable and scalable facial authentication systems. Keywords - Facial Authentication, Liveness Detection,AES Encryption (Advanced Encryption Standard),Obfuscation Techniques