Every year, almost a thousand children in India go missing. The issue of missing children is a growing concern that demands a swift and efficient approach to identify and rescue them. These cases of missing children are all reported to the local authorities. Most of the reported cases have not been resolved because it is possible for a child to disappear from one city to another or from one state to another. As the locals go to the nearby authorities to file a complaint, they only search the areas that are close to them. In such situations, it is difficult to pinpoint the child’s exact location, and the case may take a long time to resolve. This chapter presents an abstract for a missing child identification system using deep learning mechanisms, particularly convolutional neural networks (CNNs) and K-nearest neighbors (KNNs), which are used to identify the missing children from the photos uploaded to a database by the authority as well as the users. This system aims to enhance the accuracy and speed of identifying missing children, leading to faster and more successful recoveries. Using CNN, we can work on image recognition and image classification. Using KNN, we can work on image matching or pattern matching. The concept revolves around a portal where the images of missing children are uploaded to a database by the authorities, and if the user comes across any suspicious children, he can also upload the image to the portal. Unlike traditional deep learning applications, our method merely employs a convolution network as a high-level feature extractor, to perform child recognition. The best CNN face recognition model, VGG-Face, is used and correctly trained to build a deep learning model that is robust to characteristics such as stance, orientation, background noise, child age, and other factors. This model performs better than past methods for identifying missing children using face recognition. The proposed system has the potential to revolutionize the way missing children’s cases are handled and provide a more efficient and accurate approach to identifying and rescuing missing children.