Project Overview
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Taxi Booking App – Real-Time Ride-Hailing Platform Demo
Project Type: Proof of Concept (POC)
Industry: Transportation | Mobility | On-Demand Services
Service by Rinno AI: Real-Time Web App Development | UI/UX | Geolocation Integration
Project Overview
Rinno AI developed a scalable, real-time ride-hailing demo to showcase core functionalities of modern taxi platforms. This interactive prototype replicates the user journey from ride request to completion, offering a full-stack demonstration of fare estimation, driver assignment, and live tracking all wrapped in a smooth, responsive UI optimized for mobile-first usage.
Designed as a proof-of-concept, the system forms a solid foundation for any future deployment in taxi, logistics, or delivery services.
Key Features
End-to-End Booking Flow
Users input pickup and drop-off locations
Real-time fare estimates based on distance
Driver simulation engine assigns nearest available driver
Realistic ride lifecycle: Requested → Assigned → On Trip → Completed
Real-Time Tracking
Live geolocation for both riders and drivers using browser-based APIs
Map integration (OpenStreetMap/Google Maps) with live marker movement
Transparent ride status updates in real time
Web-Based UI with Mobile-First Design
Built using Next.js for fast rendering and routing
Fully responsive interface optimized for small-screen usability
Smooth page transitions and intuitive layout for seamless navigation
Scalable Backend Logic
Developed with Node.js for API and dispatch control
Mock backend logic supports driver discovery and matching
Modular architecture for easy integration of:
Multi-city coverage
Payment gateways
Customer support chat
Ride history and invoices
Technical Stack
Frontend: Next.js (React-based, SSR)
Backend: Node.js with Express
Geolocation APIs: HTML5 Location API / External Map Services
Real-Time Logic: WebSockets for live ride and driver updates
Simulated Services: Driver availability, ETA calculation, trip lifecycle flow
Outcome & Impact
This project highlights Rinno AI’s ability to build transportation platforms with real-time interactivity, geo-aware intelligence, and scalable backend design. It’s not just a UI demo it lays the technical groundwork for future production-ready ride-hailing or delivery apps.
“From seamless UI to intelligent backend architecture, this demo proves what Rinno AI can deliver for modern, on-demand mobility platforms.”