Deep Learning Model for Enhancing Child Safety: A Case Study

Abstract

Child safety is one of the major issues in Kerala where the rate of crime against children is huge. Deep learning can be used to address the children who are at risk of being victims of crime. In this paper, we focus on a case study of deep learning for child safety in Kerala. We use a dataset from the National Crime Records Bureau to develop a deep learning algorithm aimed at forecasting the likelihood of child abuse. LSTN,RNN and GRU algorithm to identify children who are at risk of being abused and can provide them support and protection. The result shows that deep learning can be a powerful tool for child safety. Future crimes can be reduced and can ensure justice for the victims. The use of deep learning for child safety is a promising area of research. We hope that our findings will help to provide awareness of this issue and to promote the use of deep learning to protect children.