Abstract: Traditional mechanical door lock systems provide limited security and lack intelligent features such as automation, remote monitoring, and user authentication. With the increasing demand for smart home security solutions, there is a need for door locking systems that offer enhanced safety, convenience, and real-time interaction. This paper presents an intelligent Internet of Things based smart door lock system with remote access and status display, designed using the ESP32 microcontroller. The proposed system integrates face recognition for secure and contactless authentication, along with an OLED display to provide real-time access status and system messages. Facial images are captured using a camera and processed for detection and recognition using deep learning techniques to ensure reliable user authentication. Upon successful verification, the door lock mechanism is activated automatically, while unauthorized access attempts trigger alert mechanisms and warning messages. In addition, a web-based interface enables remote locking and unlocking of the door, improving accessibility and control. Experimental results demonstrate that the system operates effectively in indoor environments and offers improved security and user convenience compared to conventional locking mechanisms. The proposed solution is suitable for smart homes and office environments, with scope for future enhancements to improve scalability and real-world deployment.