Contact person: AI Travel Itinerary MVP

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Location: Kolkata, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a minimum-viable product that turns a few simple inputs into a full travel plan. The backbone is an AI-powered itinerary generator: once a user enters destination, budget, trip length, travel style, and interests, the system should return a day-by-day schedule that the traveller can freely edit or reshuffle. The itinerary needs to stay adaptable; if a user drags an activity to another day, the rest of the plan should rebalance automatically.

I am interested in having these three features in addition to the itinerary generation:

• Influencer & Community Itineraries – travellers browse itineraries shared by creators or past users, copy any of them, then blend or overwrite sections with fresh AI suggestions.

• Movie/Series Mode – someone picks, say, “Emily in Paris” and instantly sees the cafés, boutiques, and landmarks featured in the show, ready to drop into their own schedule.

• Trip Partner Collaboration – an invite link lets friends comment, propose swaps, or up-vote activities, with changes and chat reflected in real time.

I don’t need pixel-perfect UI yet, just clean React (or similar) components, a fast Node/Python back end, and smart use of an LLM (OpenAI, Claude, or equivalent). Use open mapping and booking APIs where possible; keep architecture modular so additional data sources can plug in later.

Deliverables I expect:

– Working web MVP deployed to a staging URL
– Source code with clear documentation and environment variables example
– Short loom/run-through showing the generator, browse/copy flow, movie mode search, and live collaboration in action

The sooner I can test the itinerary generator end-to-end, the faster we move to polishing the rest, so please outline how you’d phase development and what you need from me to get started." (client-provided description)