During June 2025, Yurvon developed an automatic user language detection feature for the n9e/fe repository, focusing on enhancing internationalization and user experience. Leveraging JavaScript and TypeScript, Yurvon implemented a system that prioritizes a user’s language preference stored in localStorage, with a fallback to the browser’s navigator.language when no preference is set. This approach ensures that first-time users are greeted in their system language, reducing onboarding friction for multilingual audiences. The work demonstrates a solid understanding of front end development and i18n principles, establishing a foundation for future localization improvements and tighter integration of language support across the codebase.