The areas of computer vision and image processing have long been interested in human face recognition because of its many useful applications and substantial advantages. Consequently, a deep learning-based facial recognition system for mobile devices will be demonstrated in this work. Initially, a picture captured by the mobile device’s camera serves as the input image. The next step is to detect faces using the MTCNN model. One of the most popular and reliable techniques for face detection is this model. Next, facial recognition is done using the EfficientNet model, which was created to strike a compromise between computing efficiency and accuracy. Additionally, the system is designed to be easily applied in real-world circumstances since it is mobile device-compatible. Modern deep learning models are used in this research to create a reliable, incredibly accurate, and portable face recognition system.