Recent technological advancements have made facial recognition systems a viable option for security and access control applications. They offer the ability to quickly and accurately identify individuals, providing a more secure and efficient method of controlling access to restricted areas. However, traditional facial recognition systems lack the ability to alert security personnel in real-time in the case of a match or non-match. In this paper, a face recognition system that integrates with email and WhatsApp for alerts is proposed. The proposed system uses computer vision technology as well as image processing for facial recognition and uses the SMTP protocol for sending alerts on email and APIs for WhatsApp alerts. The proposed system uses Haar Cascade algorithms and LBPH(Local Binary Pattern Histogram) algorithm to analyze and compare facial features in real-time to a dataset of authorized individuals. In the event of a match, the system will authorize the particular individual, whereas, in case of a non-match, it sends alerts to designated email/WhatsApp accounts, allowing for quick and efficient response to potential security breaches. Furthermore, this system can be integrated with other security measures such as CCTV cameras and access control systems, providing an added layer of security. The integration of face recognition technology with email and WhatsApp alerts can make it a powerful tool to enhance security systems. The paper is divided into the following sections :Introduction, Literature Survey, Methodology, Results and Discussion, and Conclusion.