Navi Road Trip App Tawtilt n Tuffirin n Ubrid sɣur Ziqi Liu

Navi Road Trip App Tawtilt n Tuffirin n Ubrid sɣur Ziqi Liu d anerbaz yettwaqadren meqqren n 2025 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel n Ugrudem, Amyigaw d Tarmit n Useqdac.

UzzalAgrudem· 2025

Navi Road Trip App Tawtilt n Tuffirin n Ubrid

sɣur Ziqi Liu

Amsaɣ: Ziqi Liu

Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Agrudem

10,776

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #162674

Rzu ɣer usmel Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Navi Road Trip App Tawtilt n Tuffirin n Ubrid

Navi d tawtilt n telifun uznag i yettwaxedmen i uheggi akked usnirem n tuffirin n webrid. Navi tesnulfay-d abrid udmawan seg telqayen n unekcum akked lebɣawi i yeskcem umsafar. Tawtilt n telifun uznag tettili d ammas agejdan, tettemsaway akked tkeṛṛust taleklanikt tawurmant akked twenzin tuḥriḍant. Twenzin tuḥriḍant ttakent-d tunuɣt n usenqed s tririt tussnant (augmented reality) akked isulaf n telɣut. Isefka srid n wakud sɛan-d afus deg wamek Navi tettbeddil iberdan, sakin tazen ineɣmasen ɣef imukan yesɛan azal qrib i yemsafar. Akk tiḥebsin (bookings) ttwasefrunt deg yiwen wemkan iwakken ad yemẓi uxeddim n uheggi.

Asmekti

Ɣef Tarbaḥt A' Design Award n Uzzal

Navi Road Trip App Tawtilt n Tuffirin n Ubrid d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Navi Road Trip App Tawtilt n Tuffirin n Ubrid ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: Navi is an AI-driven system enhancing road trips with autonomous electric vehicles and augmented reality. It offers seamless itinerary customization, real-time adaptability, and spontaneous exploration alerts. Unique features include machine learning for continuous refinement, centralized booking management, and immersive AR guides, ensuring a personalized, efficient, and engaging travel experience. Navi revolutionizes and simplifies road travel for everyone.
Tigejdiwin & Akemmus: Navi's interface is designed to be highly responsive, with key technical specifications including AI-driven itinerary customization and real-time data integration. The mobile app acts as a central hub, synchronizing with an autonomous car and smart goggles. The smart goggles provide AR navigation and information overlays. The system supports various screen resolutions to ensure compatibility across different devices. The project leverages cloud computing for data processing and storage, ensuring seamless and efficient performance.
Tibzimin: Travel planning, Autonomous vehicles, AR, AI-driven, Smart goggles, Road trips, Itinerary customization, Mobile app
Tasnakta n Ufares: The interface design of Navi was realized using user-centered design principles, involving wireframing and prototyping with Sketch and Figma. Iterative testing ensured optimal usability. The app employs AI for itinerary customization, real-time data integration, and AR for navigation. Responsive layouts support various devices. Agile methodologies facilitated development. Cloud computing handles data processing and storage. Keywords: User-centered design, Wireframing, Prototyping, Iterative testing, Sketch, Figma, Responsive layouts, Agile methodologies, AI integration, Real-time data.
Asewḥel n Usnulfu: The hardest part of designing NAVI was predicting future technology trends and integrating them into a cohesive system. The challenge involved understanding the potential of AI and autonomous vehicles while considering user preferences. Interviews with experts revealed technological limitations and possibilities. Historical research highlighted how travel planning evolved, guiding the design. Socially, ensuring user acceptance of autonomous tech was crucial. Overcoming these obstacles required balancing innovation with practicality.
Anadi: The research for NAVI involved qualitative and historical methods to explore emerging technologies for future travel. Objectives included understanding AI, AR, and autonomous vehicles. Data was collected through expert interviews and user feedback. Historical research traced travel planning evolution. Insights revealed key advancements and pain points, guiding NAVI's design to offer seamless, adaptive, and enjoyable road trips. NAVI aims to transform travel by integrating cutting-edge technologies and real-time adaptability.
Aseḥbiber: The inspiration for Navi stemmed from the desire to enhance road travel by reducing planning stress and maximizing enjoyment. Observing the trend of AI, autonomous vehicles, and augmented reality transforming industries, I envisioned a system that integrates these technologies to personalize and streamline travel experiences. Extensive research into user preferences and technological advancements guided Navi's development, ensuring it meets the needs of modern travelers.
Tanzagt n Usenfar: The Navi project started in January and finished in March 2024 in Los Angeles.
Tanila n Umahil: Navi is simple to use: input your travel details and preferences, and it creates a custom itinerary. The autonomous car drives you while smart goggles provide augmented reality guides and alerts about interesting spots nearby. Navi adapts to changes with real-time updates and alternative routes. It manages all bookings in one place, making your trip stress-free. Using AI and real-time data, Navi ensures a smooth, enjoyable, and personalized road trip experience, outperforming traditional planners.