Xuxin Wang¹ and Fangrui Guo², ¹USA, ²California State Polytechnic University, USA

This research addresses the challenge of providing an engaging and effective Latin language learning experience by leveraging advanced AI technologies [1]. The proposed solution involves developing an educational app that integrates the GPT-4o Mini model for personalized learning, combining language instruction with cultural insights [2]. Key components include a Flask-based backend, AI-driven content generation, and interactive games designed to enhance user engagement [3]. Challenges such as balancing AI performance with response time were tackled by selecting GPT-4o Mini for its optimal mix of speed and accuracy. Experiments confirmed the model's effectiveness across various benchmarks, demonstrating its superior performance and cost-efficiency. The app offers a comprehensive and immersive learning experience, making it a valuable tool for modern learners interested in classical studies [4]. This approach not only improves traditional methods but also sets a new standard for language education by integrating advanced AI and interactive elements.

Literature Education, Nature Language Processing, Large Language Model, Machine Learning