AI-POWERED SYSTEM FOR FILTERING RELIGIOUS EDUCATIONAL CONTENT FOR YOUTH IN THE DIGITAL SPACE

Abstract

Abstract: In the current era of widespread digitalization, young people increasingly turn to the internet to seek information about religious teachings. However, the lack of content regulation has made it easier for youth to be exposed to misinformation, extremist ideologies, or distorted interpretations. This paper proposes an AI-based system for filtering religious educational content aimed at protecting youth in the digital environment. The study explores machine learning algorithms, natural language processing (NLP) techniques, and ethical considerations necessary to ensure that the filtered content is accurate, culturally appropriate, and pedagogically sound.