About This Architecture

UniCarpool is a comprehensive multi-module carpooling system combining AI-driven ride matching, real-time GPS tracking, dynamic pricing, and NLP-powered assistance across eight integrated modules. User authentication leverages OCR document verification with AI tamper detection, while the matching engine uses Haversine distance, ML pattern recognition, and demand forecasting to optimize pickups and ETAs. Firebase Realtime DB and WebSocket enable live seat synchronization, Google Maps API powers route tracking, and a fare engine integrates petrol price APIs for transparent cost-splitting with automatic recalculation. The architecture supports multiple payment gateways (JazzCash, EasyPaisa, SadaPay, Raast, cards, cash), WebRTC encrypted voice calls, location sharing with trusted contacts, and an NLP conversational assistant with multilingual support in English and Urdu. Fork this diagram on Diagrams.so to customize authentication flows, add region-specific payment providers, or extend the AI recommendation engine for your institution's carpooling needs.

People also ask

How do you design a scalable carpooling platform with AI ride matching, real-time tracking, and dynamic pricing?

UniCarpool's architecture combines an AI matching engine using Haversine distance and ML pattern recognition with Firebase Realtime DB for live seat synchronization and Google Maps for route tracking. A fare engine integrates petrol price APIs for transparent cost-splitting, while an NLP conversational assistant handles user queries in English and Urdu, supported by multi-gateway payments (JazzCas