Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto by Zicheng Gu

Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto by Zicheng Gu is a highly esteemed winner of the very prestigious 2026 Moputso oa Tšepe oa A' Design Award in Moralo wa Theknoloji ya Mehala, Diaplikeishene le Softwere Competition Category.

TšepeMohala· 2026

Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto

by Zicheng Gu

Client: Tripilot

Moputso oa Tšepe oa A' Design Award Winner in Mohala Category

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The Design

About Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto

Tripilot ke sesebediswa sa mohala se sebetsang joaloka molekane wa maeto wa bohlale ba maiketsetso bakeng sa baeti ba tsoang linaheng lisele linaheng tseo ba sa bueng puo ya lehae ho tsona. Tripilot e ithuta mokhoa wa moeti e mong le e mong, tekanyetso ya hae ya chelete le lithahasello tsa hae ka puisano e bonolo, ebe e etsa litlhahiso tsa merero ya maeto e lumellanang le moeti hammoho le tataiso ya lehae. Lihotele, lifofane le mesebetsi li ka behelloa ka har'a sesebediswa. Libapali tse peli tsa litšoantšo li hlahisa boiphihlelo mme li hlaha hape linakong tsa bohlokoa, joalo ka litiisetso tsa peheletso le litemoso tsa boemo ba leholimo, ho boloka tataiso e atameleha habonolo. Tripilot e hahetsoe bakeng sa iOS le Android.

The Recognition

About the Moputso oa Tšepe oa A' Design Award

Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Tripilot Sesebediswa sa Mohala sa Molekane wa Maeto e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Tripilot is a personalized AI travel companion designed primarily for foreign travelers visiting countries where they do not speak the local language. It learns each user's travel preferences over time, offering tailored itineraries, real-time local guidance, and seamless booking management for hotels, flights, and destinations. Two original mascot characters make the experience warm and approachable, reducing the anxiety of navigating an unfamiliar culture and language environment.
Dimensions & Packaging: Platform: iOS and Android (cross-platform mobile application). AI Engine: Large language model with retrieval-augmented generation (RAG) for travel-specific knowledge. Personalization Layer: Adaptive user preference model updated with each session. Booking Integration: Third-party travel API connections for hotels, flights, and activities. Mascot Animation: SVG and Lottie-based animation system. Supported languages: English (additional languages in development).
Tags: AI Travel Companion, Travel UX, Conversational AI
Production Technology: Tripilot is built on a large language model (LLM) backend integrated with a real-time travel data API layer for flights, hotels, and destination content. The interface is developed using a cross-platform mobile framework ensuring consistent UX across iOS and Android. User preference modeling is handled through an on-device and cloud-hybrid personalization engine. The mascot characters are designed in vector illustration and animated using frame-based and skeletal animation techniques for smooth in-app interactions.
Design Challenge: Understanding how foreign travelers experience anxiety, confusion, and decision fatigue in unfamiliar countries required extensive research. Technically, integrating Chinese local travel APIs, many of which are not internationally accessible, with a multilingual conversational AI was a significant engineering obstacle. Ensuring cultural sensitivity in mascot design and content recommendations added further creative complexity.
Research: Research focused on the experience of foreign travelers in high-barrier destinations, with China as the primary case study. Methodology included interviews with expatriates, tourists, and business travelers, alongside analysis of existing travel tools serving non-Mandarin speakers. Results revealed critical gaps in local booking access, cultural guidance, and real-time language support. These findings shaped Tripilot's core features: adaptive preference learning, localized content delivery, and an emotionally engaging mascot-driven interface designed to build trust in unfamiliar environments.
Inspiration: Tripilot was inspired by two converging frustrations: the disorientation of traveling in countries with significant language and cultural barriers, and the exhaustion of fragmented planning across countless disconnected apps. Foreign travelers in destinations face both simultaneously. This motivated a single intelligent companion that does not merely translate, but genuinely learns each traveler's preferences and guides them with the confidence of a knowledgeable local friend.
Project Duration: Tripilot was conceived, researched, designed, and developed in late 2025 in Shanghai
Operation Flow: Users begin by chatting with Tripilot's AI, guided by two friendly mascot characters who introduce the experience. The app asks simple questions to understand travel style, budget, and interests. As the user interacts more, Tripilot builds a preference profile that powers increasingly personalized recommendations. When ready, users can confirm bookings for hotels, flights, and activities directly within the app. The mascots reappear at key moments — confirmations, weather alerts, and trip countdowns — keeping the journey engaging from planning to return.
Team Members: ZICHENG GU