We present LangEye, a mobile application for contextual vocabulary learning that combines learner-curated content with generative NLP. Learners use their smartphone camera to capture real-world objects and create personalized “memories” enriched with definitions, example sentences, and pronunciations generated via object recognition, large language models, and machine translation.LangEye features a three-phase review system — progressing from picture recognition to sentence completion and free recall. In a one-week exploratory study with 20 French (L2) learners, the learner-curated group reported higher engagement and motivation than those using pre-curated materials. Participants valued the app’s personalization and contextual relevance. This study highlights the potential of integrating generative NLP with situated, learner-driven interaction. We identify design opportunities for adaptive review difficulty, improved content generation, and better support for language-specific features. LangEye points toward scalable, personalized vocabulary learning grounded in real-world contexts.