AI-Powered Event & Café Booking App
Budget / Salary₹75,000–150,000
TypeFreelance project
LocationRemote
Posted2 hours ago
I’m ready to commission a single mobile application that lets users book movies, concerts, and cafés from one place and then uses an AI planner to arrange the perfect outing for them.
Core scope
• Three parallel booking modules—movie, concert, and café—must live under one seamless user journey.
• For movies, the flow needs seat selection, real-time show-time schedules, and secure payment processing.
• For concerts, include the same seat picker plus multiple ticket categories before the payment step.
• Café reservations can remain simpler but should still tie into the same payment gateway for deposits or pre-orders.
AI itinerary builder
After a user chooses any combination of those experiences, an in-app assistant should propose the best order, timing, and even transit gaps between venues. A light recommendation engine (think collaborative filtering or rule-based to start) is fine for the first release; we can iterate once a clean MVP is live.
Tech expectations
Native iOS and Android or a strong cross-platform stack such as Flutter or React Native is acceptable as long as performance remains smooth when handling seat maps. For payments, please integrate something widely adopted—Stripe or Razorpay work on my end. The seat maps will arrive as SVG/JSON from our ticketing partners.
Deliverables
• UX wireframes and final UI assets
• Fully functional mobile app (source code)
• Admin dashboard for venue partners
• Basic AI recommendation module connected to the three booking flows
• Post-launch support during the first month
Acceptance criteria will focus on flawless seat selection across both movie and concert modules, successful end-to-end payments, and the AI planner returning sensible itineraries in under three seconds on a mid-range device.
If this matches your wheelhouse, let me know what tech stack you prefer and how long you’d need for an MVP; I’m eager to get started.
Core scope
• Three parallel booking modules—movie, concert, and café—must live under one seamless user journey.
• For movies, the flow needs seat selection, real-time show-time schedules, and secure payment processing.
• For concerts, include the same seat picker plus multiple ticket categories before the payment step.
• Café reservations can remain simpler but should still tie into the same payment gateway for deposits or pre-orders.
AI itinerary builder
After a user chooses any combination of those experiences, an in-app assistant should propose the best order, timing, and even transit gaps between venues. A light recommendation engine (think collaborative filtering or rule-based to start) is fine for the first release; we can iterate once a clean MVP is live.
Tech expectations
Native iOS and Android or a strong cross-platform stack such as Flutter or React Native is acceptable as long as performance remains smooth when handling seat maps. For payments, please integrate something widely adopted—Stripe or Razorpay work on my end. The seat maps will arrive as SVG/JSON from our ticketing partners.
Deliverables
• UX wireframes and final UI assets
• Fully functional mobile app (source code)
• Admin dashboard for venue partners
• Basic AI recommendation module connected to the three booking flows
• Post-launch support during the first month
Acceptance criteria will focus on flawless seat selection across both movie and concert modules, successful end-to-end payments, and the AI planner returning sensible itineraries in under three seconds on a mid-range device.
If this matches your wheelhouse, let me know what tech stack you prefer and how long you’d need for an MVP; I’m eager to get started.
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