Challenge
Translation alone does not solve ordering abroad. Travelers still need to understand allergens, restrictions, local dish context, portion logic, alcohol or caffeine cues, and what is actually safe or worth ordering.
TRAVEL MENU AI
A mobile AI menu guide that turns menu photos, QR pages, kiosks, tablet ordering screens, URLs, and gallery images into safer, clearer order decisions for travelers.

Translation alone does not solve ordering abroad. Travelers still need to understand allergens, restrictions, local dish context, portion logic, alcohol or caffeine cues, and what is actually safe or worth ordering.
I shaped ZooMoon around menu sessions: one capture, QR, URL, kiosk, tablet screen, or gallery image becomes a saved analysis with recommendations, risk cues, original menu evidence, and a staff-ready order phrase.
ZooMoon turns AI menu analysis into a practical travel companion that supports the full restaurant moment: capture, understand, decide, communicate, save, and return.
Travel Ordering Loop
ZooMoon is not just OCR. It keeps the source menu, translated dish context, risk checks, recommendation, and staff phrase in one reusable session.



Input Model
Travelers meet menus as paper photos, QR pages, kiosk screens, tablet ordering systems, URLs, and gallery images. ZooMoon treats each of them as a source for the same analysis pipeline.
One restaurant moment stays readable after the user leaves the table.
Recommendation Logic
The recommendation layer considers what the user can safely eat, how heavy the meal feels for the day, and whether alcohol or caffeine should be questioned before ordering.
Pick lighter, safer dishes before walking again.
Ask first when a dish or drink may clash with the user profile.
Keep risk signals visible next to the recommendation.
Turn the final choice into words the restaurant can understand.
Restaurant Moment
ZooMoon keeps the original menu close to the answer, then turns the selected recommendation into a phrase the traveler can show or read to staff.

Trip Memory
History, saved sessions, favorites, and profile settings make ZooMoon useful across a trip instead of only during one scan.


Mobile Surfaces
Each screen supports a concrete travel ordering step: input, confirmation, recommendation, phrase, history, and preference control.

The app starts from a travel menu problem, not a generic translator.

Photo, kiosk, tablet, QR, URL, and gallery input all become menu sessions.

The user can confirm whether the capture is readable before analysis.

Recommendation, original menu evidence, and staff phrase stay connected.

Every restaurant moment can be reopened during the trip.

Food safety, alcohol, caffeine, and travel pass settings affect future analysis.