Content Restricting Age Predictor System using Artificial Intelligence

Online safety, particularly for children, is a significant concern in today’s digital age. The proposed project aims to develop a combined framework to prevent children from accessing the age restricted content on the internet. The system involves utilizing a computer vision technique called Blob from image to detect face in the image. To achieve accurate age detection, the proposed approach employs a deep learning method called a convolutional neural network (CNN). CNN is particularly good at processing and recognizing images and has multiple layers, including convolutional, pooling, and fully linked layers, which extract the binary values and compare it with available data to provide the user’s age. The proposed approach uses the open-source automation tool, Selenium, to control access to websites based on the predicted age of the user. By restricting access to inappropriate content based on age, this approach provides a reliable way to safeguard children’s online experience. The combined framework of face recognition and age detection, in conjunction with the OpenCV and the Selenium tool, offers a reliable and effective approach to age detection and access control on the internet.