Abstract: This paper presents a face detection using multi-task cascading convolutional network (MTCNN) method, especially for face images. By recognizing the presence of a face, the goal is to ensure the integrity of the user's profile picture. The system leverages the efficiency and accuracy of MTCNN to upload profile images and verify the presence of a face. If no face is found or more than one face is found, the user will be asked to upload a new photo. The system uses preprocessing to prepare the image for input into the MTCNN model for face detection. By integrating these solutions into the website, users can optimize the accuracy of their profile pictures, thus improving their experience.