Child Trafficking Mitigating System using Transfer Learning and Modified Deep Learning

Abstract

In India, the National Human Rights Commission said that 11,000 of the 40,000 kidnapped children go unrecoverable each year. This project suggests a method for creating a useful app to locate a missing person by correlating the database and the identification feed. To check if the suspected child is a victim of child trafficking and is listed as a missing child, the person can scan their image. A facial recognition system has been employed which uses CNN (Convolution Neural Network ) a deep learning technology for digital image processing and to identify or confirm a person. Current world scenarios and technology make substantial use of facial feature detection and recognition but here we have also introduced alert system The problems of the modern world, on the other hand, have remedies thanks to artificial intelligence. To improve communication between humans and machines, artificial intelligence (AI) has been developed. Convolution neural networks and deep learning will be heavily utilised to analyse images and make appropriate inferences as part of the implementation of the aforementioned solution. By sending the victim's position information and photo to the closest police station, the user initiates the rescue effort and minimises the area that needs to be searched for the youngster.