Lyf Jarvis is an AI-powered personalized travel planner.
It provides customized travel itineraries in real-time based on the user’s location, weather, and preferences.
With voice recognition and 3D route visualization, it offers an intuitive travel plan while learning from user feedback.
By optimizing costs and transportation, it enhances convenience, going beyond information delivery to elevate the travel experience.
- Real-Time Customized Itineraries: Collects user location, weather, and preferences in real-time to provide the most suitable travel plans.
- Easy Itinerary Management: Allows for easy travel plan adjustments and management through AI-driven voice recognition.
- Learning from User Feedback: Incorporates user feedback to deliver increasingly refined and personalized recommendations, enhancing the travel experience.
- 3D Route Visualization: Displays travel routes in 3D for an intuitive understanding of destinations and paths.
- Optimized Route Recommendations: Considers transportation, cost, congestion, and more to suggest routes that maximize cost efficiency and time savings.
- Adaptive Updates: Optimizes routes based on real-time data, adjusting to weather changes or traffic updates to maximize convenience.
- Matching Users with Similar Interests: Matches users with similar preferences based on personalized travel data, recommending shared travel schedules.
- Connecting Through Diverse Activities: Fosters community through shared interests such as hobbies, activities, and dining spots, promoting natural networking opportunities.
- Experience Sharing and Travel Expansion: Enables users with similar interests to share experiences, meet new travel companions, and broaden their travel horizons.
- Enhanced Travel Experience: Provides an intuitive and satisfying travel experience through AI-powered planning and 3D visualization.
- Maximized Convenience: Real-time route optimization and voice recognition allow for quick and easy itinerary adjustments, adapting to unforeseen circumstances.
- Continuous Improvement: Learns from user feedback to deliver increasingly personalized recommendations, with a feedback-driven development structure that enhances user satisfaction.
- Community Building and Networking Opportunities: Connects users with similar interests, fostering a platform for shared travel experiences and natural community formation.
 Seongsu Shin @shinseongsu |
 Chanmi Jeong @tinajeong |
 Seungyoung Jeong @gogoonbuntu |
 Chanho Lee @bk100km |