AI-Powered Taxi App Build

Customer: AI | Published: 03.02.2026

I’m ready to commission a full-stack team that can deliver a production-grade, Uber-style taxi platform end to end. The scope covers an Android and iOS rider app, a dedicated driver app, an admin web dashboard, and a robust, scalable backend that keeps everything in sync in real time. Core features • Live GPS tracking so riders and drivers can see one another on the map with sub-second updates. • Seamless in-app payments supporting Credit/Debit Cards, Digital Wallets, and Bank Transfers from day one. • A wallet system for stored value, promos, and instant driver payouts. • AI/ML surge-pricing engine that dynamically adjusts fares based on supply-demand patterns. • Comprehensive analytics: user activity, revenue, fleet performance, and operational KPIs rendered in clear dashboards and downloadable reports. • Secure authentication, push notifications, ride history, ratings, and customer-support chat. Tech direction I’d like to keep the stack modern and cloud-ready: Flutter or React Native on the mobile side, Node.js or Django for the API layer, PostgreSQL as the primary datastore, all containerised and deployed on AWS with auto-scaling and CI/CD. What I expect from you 1. Production-ready rider app (Android & iOS) 2. Production-ready driver app 3. Web-based admin dashboard 4. Microservice-oriented backend with REST or GraphQL endpoints 5. Integrated AI surge-pricing module with unit tests and model documentation 6. Payment gateway and wallet implementation, fully tested in sandbox and live modes 7. Deployment scripts, infrastructure as code (CloudFormation/Terraform), and basic monitoring setup 8. Post-launch support for bug fixes and minor iterations (first month included) Please outline your proposed architecture, timeline, key milestones, and any similar projects you’ve shipped. I’m looking to move quickly with a partner who can own the build through launch and help steer best practices along the way.