Lost Tourist (University FYP)
Lost Tourist addresses the 'integration gap' in travel technology by focusing on cultural integration rather than transient tourism. Built as a university final year project, it combines immediate utility (image-to-text translation for daily navigation) with long-term language acquisition features. The application uses a modern full-stack TypeScript architecture with a separate Python FastAPI backend for AI processing, implementing Google Cloud Vision and Translation APIs with an adapter pattern for provider flexibility. Key features include stateless, privacy-focused image processing, offline-capable PWA functionality for the personal phrasebook, and WCAG accessibility standards. The project demonstrates enterprise-level containerized deployment with Docker and follows strict data protection compliance (GDPR/DPA 2018).