Built with SwiftUI to create dynamic, user-friendly views that adapt seamlessly across different iOS devices. The interface leverages declarative syntax for clean, maintainable code and smooth animations that enhance the user experience.

The app features custom UI components, responsive layouts, and intuitive navigation patterns that make travel planning effortless. Every screen is designed with accessibility in mind, ensuring the app works well for all users.

Integrated MapKit to provide in-app trip navigation with real-time directions and route visualization. Users can plan their journeys, view detailed maps, and get turn-by-turn navigation without leaving the app.

The navigation system includes custom annotations, route overlays, and location tracking to provide a comprehensive mapping experience. The integration handles complex routing scenarios and provides alternative route suggestions based on real-time traffic data.

This feature showcases advanced MapKit implementation, including custom map styles, user location management, and seamless integration with the app's travel planning workflow.

Integrated RAG (Retrieval-Augmented Generation) via Firebase to enrich LLM prompts with contextual data, improving response relevance by approximately 30% based on user testing. The system provides personalized travel recommendations based on user preferences and historical data.

The AI system analyzes user behavior, travel patterns, and preferences to suggest relevant destinations, activities, and routes. By combining real-time data retrieval with generative AI, the app delivers highly contextual and useful recommendations.

This implementation demonstrates advanced AI integration in mobile applications, showcasing how modern machine learning techniques can enhance user experience through intelligent, data-driven suggestions.