Design and Implementation of LBW – A Mental Health Application for Children

Abstract

As COVID-19 continues to spread around the world, it is increasingly important to pay attention to the mental health of those who are isolated at home. Love In A Big World (LBW) offers a content-driven mental health solution for middle childhood (ages 8-14), their families, and their educators that is scalable and suitable for a COVID and post COVID world. The key differentiators of our LBW app over our competition are that we are kid-centric, and our platform is supported by deep learning-based NLP methods. Three NLP models have been applied in the Android Platform. The first SBRERT model focuses on sentence encoding and enables similarity comparison of contents. The second Toxic-BERT handles potential threatening texts for kids. The third GPT-3 model that is compared with fine-tuned GPT-2 model provides a conversational chatbot. The technologies and strategies used at both the client-side and server-side are discussed. The process of functional mobile application development is concealed from the design stage to implementation stage in this paper.