Arolang: A Next-Generation Language Learning Application

The goal of this project is to create an augmented reality (AR) language-learning application that allows users to interact with their environment while learning a new language. The absence of real world context in textbooks and mobile apps, among other traditional language-learning tools, may interfere and divert from the learning process. The app uses augmented reality (AR) technology to improve language acquisition by identifying objects in the user's surroundings and displaying their names in the target language. Three primary components are integrated into the system: augmented reality (AR) for visual labelling, object recognition for real-world object identification, and an API for real-time translation fetching. Users can swiftly learn the names, pronunciations, and sample sentences of items by pointing the camera at them. This practical, interactive method makes learning more engaging, improves vocabulary retention, and promotes constant practice. To help with language learning even further, the app will include features like progress monitoring and pronunciation assistance. When AR is used in this way, language learning takes on a fresh, interesting, and useful dimension that benefits learners of all skill levels and helps them expand their vocabulary in a natural way. Key Words: AR, Language Learning, Interactive, Object Recognition, Translation API, Real-Time, Visual Labeling, Vocabulary, Pronunciation, Progress Monitoring, Engaging, Practical, Skill Levels