The project involves collecting the child reading dataset for the language is Xhosa, a South African Bantu language. The collected dataset is then processed with the help of native speakers and utilized to train state-of-the-art machine learning models focussed on assessing whether the child has spoken the word correctly or not. The dataset contains 14,972 recordings with an average of 4 seconds each. Each recording is annotated by three independent markers and consists of children speaking a particular word or letter from the Xhosa language in a classroom setting.