This paper presents Signly.uz, a mobile learning platform for Uzbek and American Sign Language (UzSL/ASL) built around a gamified mobile experience. The app runs on Flutter with a Firebase backend, and TensorFlow Lite handles offline recognition for a subset of the 500+ signs in our companion dataset [6]. Instead of treating sign-language technology purely as a real-time translation aid, we built in gesture-based games, interactive flashcards, multimedia learning material, quizzes, and an XP/badge progress system – an approach supported by prior work showing gamification boosts engagement [2]. We piloted the app in a classroom setting with 10 university coursemates, who tried out the vocabulary activities and recognition features and gave feedback afterward. Reactions were generally positive: participants reported increased motivation to practice, and the XP leaderboard and quiz mode came up most often as favorite features. We also saw gesture misclassification on lower-end Android devices and occasional lag during video rendering. We present Signly.uz as an educational extension of sign-language recognition technology rather than a validated learning intervention, the sample was small and this was not a controlled effectiveness trial.