Meichu Hackathon 2024 · 2nd Place · Google Track

Travel planned around your personality.

Travelity turns your interests, personality and travel pace into a personalized, day-by-day itinerary — powered by AI agents and real-time data. Not the same hotspots everyone gets. Yours.

iOSAndroidWeb
The problem

Trip planning today doesn't get you.

Finding places that fit who you are takes hours — and still lands everyone in the same crowded spots.

01

Aimless searching

Hours lost scrolling searches that surface places you don't actually care about.

02

One-size-fits-all plans

Travel apps and social feeds hand the same generic itinerary to everyone, ignoring who you are.

03

Overcrowded hotspots

Everyone's funneled to the same must-sees, so you fight the crowds instead of enjoying the place.

The insight

Most travel apps, search engines and generic AI tools only surface popular spots and vague plans — ignoring who you actually are.

So we built Travelity.

It builds an itinerary around your interests, personality and travel pace, blended with real-time data — a plan that's genuinely yours.

Interests & personalityPhotography, food, nightlife, introvert or explorer — it all shapes the picks.
Your travel pacePacked-and-fast or slow-and-easy — the plan matches how you like to move.
Real-time dataGoogle Maps, Search and Gemini keep recommendations fresh and grounded.
How it works

From preferences to a plan in three steps.

1 Set your preferences

Tell Travelity who you are.

Pick your interests, personality, travel pace, food and accommodation preferences. A quick, tappable onboarding builds your traveler profile.

Travelity preferences screen
Preferences · in-app UI (Traditional Chinese)
2 Generate your route

One prompt, AI does the planning.

Describe your trip and Travelity fires parallel AI agents that pull attractions, food and stays from Gemini, Google Maps and Google Search — scored against your profile.

Travelity AI assistant screen
AI route generator · in-app UI (Traditional Chinese)
3 Follow your timeline

A day-by-day plan you can actually follow.

Get a personalized itinerary laid out on a clean timeline — organized by day, ready to explore, and easy to adjust on the go.

Travelity itinerary timeline screen
Recommended timeline · in-app UI (Traditional Chinese)
A Travelity traveler

Meet Mei, an introvert who loves photography.

She's planning a three-day trip from Taichung to Taipei. Generic apps send her straight to Taipei 101, the National Palace Museum and Ximending — crowded, loud, impersonal. Travelity reads her personality and finds quiet, photogenic corners and characterful old-house cafés that fit her pace, steering her around the crowds instead of into them.

IntrovertPhotography loverOld-house cafésAvoids crowds
What's inside

Built to feel personal, end to end.

Personalized recommendations

Every place is scored against your interests, personality and pace — not raw popularity.

Automatic itinerary generation

Attractions, food and stays are combined into a full day-by-day plan in seconds.

Real-time adaptability

Grounded in live data so plans reflect the real world, from weather to crowds.

Multi-platform

One Flutter app across iOS, Android and Web — plan on any device you carry.

Under the hood

The stack that powers it.

Frontend
FlutterDartBLoCGetItdio
Backend
PythonREST APIRecommendation engine
AI & Data
GeminiGoogle MapsGoogle Search
On each request, three agents run in parallel/get_attraction_plan, /get_food_plan and /get_accommodation_plan — then merge into a single, coherent daily itinerary.
Roadmap

Where Travelity is headed.

Richer interest tags

Finer-grained preferences for even more precise, personal recommendations.

Group travel

Plan a trip together and reconcile everyone's tastes into one shared itinerary.

Integrated info

Live weather, transit and opening hours folded right into the plan.

The team

Four builders, one 24-hour sprint.

SZ
Song-Ze Yu
Team Lead · Product
@vaclisinc
LW
Li-Wei Liu
Frontend · Flutter
@SimonLiu423
YH
Yi-Hsuan Chang
Backend · API
@WavJaby
YT
Yun-Tang Chang
AI · Recommendations
@Andrewtangtang

Team 大嘻嘻的時候黑客松松澤 · Built at the Meichu Hackathon, 2024 · 2nd place (Google track).

Your personal itinerary planner.

Explore the code, the architecture and the full story on GitHub.

View the project on GitHub