Katha App: Sinhala Phonological Disorder Detection and Treatment in Early Childhood

This research paper introduces “Katha” an innovative mobile application meticulously designed to identify phonological disorders among Sinhala-speaking children aged2-4 years, while also providing therapeutic gaming activities. The application leverages advanced machine learning techniques, notably the Support Vector Classification (SVC) algorithm and Long Short-Term Memory (LSTM) networks, to achieve its multifaceted goals. At its core, “Katha” aims to deliver actionable insights to parents and caregivers, serving as a catalyst for enhanced language development in young children. Furthermore, the app incorporates a sophisticated patient record management system, benefiting speech pathologists by streamlining treatment and progress monitoring. Overall, this research endeavors to introduce a pioneering mobile tool that not only fosters language development but also empowers young children in Sri Lanka to refine their pronunciation skills and enrich their linguistic proficiency. Through “Katha”., the potential to positively impact the linguistic journey of these children becomes a reality.