SafarShare AI
AI ride-sharing platform for Pakistan featuring route proximity matching, dynamic fare calculations, and WebSocket tracking.
Overview
Engineered an AI-powered ride-sharing solution tailored for urban commuters in Pakistan, bridging React Native mobile clients and Django backends.
Designed routing systems with dynamic ride matching, fare estimates based on distance and traffic, and real-time location streaming over WebSockets.
The Challenge
Urban commuters in Pakistan faced high transport costs and inefficient routes, while drivers lacked optimized occupant matching.
The Solution
Shipped a cross-platform mobile ride-sharing app with route overlap algorithms to group riders heading along similar trajectories.
The Outcome
Produced a scalable ride-sharing prototype that reduced travel expenses through optimal co-traveler grouping and accurate, predictive pricing.