Contact person: AI Movie-Inspired Travel App 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 Tripflix, a mobile travel app that lets users discover real-world trips drawn straight from their favourite movies and series. The core flow is simple: a user searches by movie or show title, explores the places featured on-screen, and receives an AI-generated day-by-day itinerary. Because this is a school project I need a working MVP rather than a polished production release, but it must demonstrate the full concept end-to-end.

Key functions to implement
• Browse trips linked to specific titles (e.g., Emily in Paris, Zindagi Na Milegi Dobara).
• One-tap AI itinerary generator that outputs daily activities, accommodations and transit.
• “Remix” engine that asks for a new angle—shorter stay, foodie focus, adventure, romantic, budget—and instantly rewrites the plan.
• Single-user profile area where people can save My Trips or mark some as Shared Trips.

Tech is flexible; I’m comfortable discussing React Native, Flutter or a pure web PWA, paired with a lightweight backend (Firebase, Supabase or Express + Postgres). For the AI, you’re welcome to plug in OpenAI, as long as prompts and outputs are clearly documented so I can tweak them later.

Acceptance criteria
1. Search returns at least three demo itineraries when a movie title is entered.
2. Generate and Remix features respond in under 10 seconds using mock or live AI.
3. Users can create an account, save a plan, log out, log back in, and find it intact.
4. Codebase is clean, commented, and handed over via Git with a short README explaining setup and any environment keys.

If you’ve built travel planners, itinerary builders or anything that fuses AI with location data, please share a quick example or repo link. I’m on a tight academic timeline, so clear milestones and consistent communication will be key." (client-provided description)