Concierge agent
A Gemini 2.5 Flash agent built on Google ADK, with a reservations sub-agent and tools for search, availability, venues, payment and the member's taste memory.
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A social travel app that reads your mood, gives you a traveller archetype and opens rooms of people heading the same way, with an AI concierge on call.

Make discovering a city feel social again. Instead of another feed, Loma starts with who you are today, then puts you in a room with people who want the same thing.
An invite-only onboarding that runs a mood assessment and reveals an archetype (such as “The Voyager”), an experiences feed, rooms you can join or host, trips and bookings, and Ask Loma, a Gemini-powered concierge that also serves hotel guests.
Behind the playful front end sits a Python backend with a Gemini agent, a learned ranking model and a taste memory the member controls.
A Gemini 2.5 Flash agent built on Google ADK, with a reservations sub-agent and tools for search, availability, venues, payment and the member's taste memory.
The model cannot confirm or cancel a hotel booking: those actions are removed from it, and a person verifies before a booking is final.
Gemini tags hotels and venues by feel offline, and Gemini embeddings find places that match a member's taste.
A ranking model trained on what members open, save, book or skip, tested against hand-tuned ranking, with collaborative filtering and an explore/exploit balance.
Preferences fade over time unless they are hard facts like allergies, and a preference the member states is saved only after they confirm it.
The assessment, archetype reveal and Ask Loma screens are a designed prototype, not yet wired to the backend engine.
Invite-only entry and a mood assessment that shapes everything after it.
A reveal moment that names your travel personality.
Venues and plans filtered by mood, not by ad spend.
Join a room or host one. “Both sides choose.”
A conversational concierge built on Gemini ADK, on a Python backend.
Bookings in one place, plus a concierge mode for hotel guests.
















Know what it will cost and what it will return before you build it.