Ahsana fathima e

This project proposes utilising deep learning to discover missing children by comparing uploaded photos to a database of missing children. A VGG face deep architecture that has already been
trained is used to train a Convolutional Neural Network (CNN) to recognise faces. The programme allows users to upload pictures of kids who look suspicious along with landmarks and other details. It also allows law enforcement or mother authorities to view details about kids who have vanished. The programme automatically compares the supplied photo with the pictures of missing kids in the database and selects the best match.