Kirthika, L.Abeykoon, J.2022-03-072022-03-072020-12-10978-1-7281-8412-8https://rda.sliit.lk/handle/123456789/1519To determine depression in pre-schoolers and validation of identifying depression based on daily activities. A comprehensive literature search, interviews with accredited mental health practitioners and a survey was conducted to validate the background aspects and existing diagnosis theories to map out based on daily activities. The results of the evaluation suggest a gap around diagnosis of depression in pre-schoolers due to lack of awareness and its distinctive nature to adult depression. This establishes a need for depression status calculation mechanism based on analysis of daily activities using machine learning to examine behaviour and speech patterns. Further, rule-based machine learning, will be implemented to offer personalized treatment plans if diagnosed with a status of depression.enPre-school depressionDepression statusCBCLMachine LearningHidden Markov ModelRule-based Machine learningArticle10.1109/ICAC51239.2020.9357230