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Word2Vec technology can map vocabulary to high-dimensional space and represent semantic relationships between vocabulary in vector form, thereby capturing subtle semantic differences between vocabulary. By calculating the distance and direction between vectors to infer the relationship between vocabulary, this article also introduced a mobile application that integrated multiple functional modules such as vocabulary learning, memory games, learning progress tracking, and regular push notifications, providing students with a personalized learning experience. Through this application, students can learn vocabulary anytime and anywhere, and dynamically adjust their learning plans based on their learning progress and memory effects. The significance of this paper is that the accuracy and recall rates of word meaning comprehension and memory efficiency reached 96% and 98%, respectively, proving the effectiveness of this method in English teaching. 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