This paper aims to develop a multi-layered access control system that enhances security through the integration of multiple biometric modalities, specifically fingerprint recognition, facial recognition, and voice recognition. Traditional access control systems often face vulnerabilities due to their reliance on a single method of authentication, which can lead to unauthorized access. As security threats evolve, there is a growing demand for more robust solutions that can adapt to various security needs. The proposed system consists of three main components: a fingerprint scanner, a facial recognition module, and a voice recognition module, with each biometric method operating independently to allow users to select the desired layers of security based on their specific requirements. Advanced matching and merging algorithms are employed to enhance the reliability and efficiency of the authentication process. Rigorous testing and evaluation of the multi-layered access system were conducted in real-world scenarios, demonstrating its effectiveness in providing secure and accurate user verification. The results indicate significant improvements in both security and user satisfaction compared to traditional systems. By integrating multiple biometric modalities, this system not only mitigates the risks associated with single-factor authentication but also meets the increasing demand for advanced security measures in today's technology-driven environment.