In the recent years, face recognition system has received a significant popularity due its various applications in surveillance, security, banking and financial sectors authentication, personalization services, smart gadgets, and education sectors. With an increase in the variety of gadgets available, we also require an efficient system which can overcome the challenges due to different occlusions, positions, or other considerations. This paper provides robust technique by combining advanced computer vision methodologies with machine learning algorithms. The system was developed using MTCNN and FaceNET algorithms for better efficiency. The system was tested against a diverse dataset and results depicted that the system developed is reliable and accurate.