Technological tool for the prevention and prediction of sexual abuse in children

PROPUESTA DE HERRAMIENTA TECNOLÓGICA PARA LA PREVENCIÓN Y PREDICCIÓN DEL ABUSO SEXUAL EN NIÑOS

This article describes a project that uses advanced technologies such as artificial intelligence (AI), including the implementation of algorithms such as K-mean for anomaly detection, and Apriori to identify frequent associations between data in order to prevent and predict cases of child sexual abuse, with the help of these algorithms it analyzes the behavior between aggressors and children, in order to identify the possibility of potential risks of sexual abuse or physical abuse.