Deep Learning in Streamlining Students by English Proficiency to Optimize Language Learning

Communication through English language is an essential and anticipated attribute of the learners in modern times. This article discourses on the modalities of applying deep learning techniques to streamline students based on their English proficiency, aiming to optimize language learning outcomes. The neural network-based modelling framework encompasses varied features and it is trained on diverse datasets. This research unveils the potential of artificial intelligence in tailoring language learning by paying special attention of focused learner groups. The efficacy of the proposed model is measured using certain standard performance metrics. This research work facilitates in extending this neural network model to other decision-making applications.