Travel Planning & Itinerary

Part of the worlds-biggest-software-project initiative.

An AI-native, offline-first trip planner that unifies itinerary generation, live booking, and on-the-road reliability in a single open platform.

Travel Planning & Itinerary is a candidate open-source project that generates personalised day-by-day trip plans from natural-language input, integrates live booking, and remains fully usable once connectivity drops. It targets independent travellers, group trips, and privacy-conscious users underserved by today's commercial AI planners.

Why Travel Planning & Itinerary?

Trip planning is fragmented across flight engines, hotel sites, activity platforms, offline maps, and personal notes; travellers spend hours reconciling sources before producing a usable itinerary.
Leading AI planners gate core capability behind subscriptions (Layla.ai at $49/year, TripIt Pro at $49/year, Roadtrippers at $35.99–$59.99/year, Wanderlog offline access paywalled).
Most AI planners lack true offline-first behaviour: PDF export is the common fallback, not a cached live app, leaving travellers stranded once connectivity drops.
No single tool covers the full lifecycle of research, booking, budget, packing, and in-trip alerts; users still stitch together TripIt-style aggregators with separate planners.
The only fully open-source option, TREK (AGPL-3.0), lacks native GDS or OTA booking integration; commercial alternatives are proprietary SaaS with no disclosed open-source components.

Key Features

AI Itinerary Generation

Day-by-day plans built from destination, dates, interests, budget, and group composition
Natural-language input with incremental, editable rendering
Local recommendations with crowd-level and opening-hour data

Booking & Live Pricing

Live hotel and flight search via aggregator APIs (Amadeus self-service, Skyscanner, Booking.com Partner Centre)
Activity booking via Viator or GetYourGuide OCTO-compliant APIs
Confirmation email parser via forwarding address or Gmail sync

Offline-First Travel

Itinerary, map tiles, and booking confirmations cached on device at plan-confirmation time
Progressive Web App or native iOS/Android delivery for reliability without connectivity
Key venue details and documents accessible offline

Group & Budget Tools

Real-time collaborative itinerary editing
Group voting on proposed activities
Budget tracker with per-person expense splitting and multi-currency conversion at live rates
AI-generated packing list from destination climate, activities, and trip length

In-Trip Intelligence

Flight delay, gate change, and hotel check-in alerts
Weather-adaptive replanning (e.g. surface indoor alternatives on rainy days)
Pre-trip estimated costs versus in-trip actual spend by category

AI-Native Advantage

LLM-driven itinerary construction with destination-specific RAG produces plans that adapt to traveller preferences rather than returning generic top-ten lists. Natural-language re-routing lets users adjust plans conversationally ("it's raining, suggest indoor alternatives today"), while AI confirmation parsing extracts structured bookings from any email format. Group preference reconciliation uses the model to mediate differing inputs into a balanced consensus itinerary, and packing lists are generated from real itinerary context instead of static templates.

Tech Stack & Deployment

Expected deployment as a Progressive Web App with optional native iOS and Android wrappers to maximise offline reliability. Live pricing relies on GDS connections (Amadeus, Sabre) or aggregator APIs (Skyscanner, Booking.com Partner Centre). Offline-first architecture caches itinerary content and map tiles at plan-confirmation time. AI capabilities are powered by LLMs with RAG over curated travel content, with deep-link handling for confirmation email parsing. Open-source precedent (TREK) demonstrates Docker-based self-hosting with OIDC, TOTP, and PWA offline mode as a viable reference architecture.

Market Context

Travel experts evaluated more than 50 planning apps in 2026 across 12 criteria including AI capability, offline functionality, booking integration, and collaboration; no single tool dominated all categories. Incumbent pricing ranges from free tiers (Wonderplan, MonkeyTravel, TripStone, Google Travel) to $35.99–$59.99/year (Roadtrippers) and $49/year (Layla.ai, TripIt Pro). Primary buyers are independent leisure travellers, group trip organisers, road-trip and RV users, and privacy-conscious users seeking alternatives to surveillance-model commercial tools.

Candidate metadata: Complexity 5; Domain availability High; Demand High.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context. Note that any reuse of TREK (AGPL-3.0) would impose share-alike obligations on a network-deployed derivative; OpenStreetMap data (ODbL) and Open-Meteo data (CC BY 4.0) require attribution where used.