Mobile / 2024

SafarShare AI

AI ride-sharing platform for Pakistan featuring route proximity matching, dynamic fare calculations, and WebSocket tracking.

My Role Lead Mobile & Backend Developer
Timeline 5 months
Team Size 2 members
Platform AI/ML

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.

Core Features

Intelligent Ride Matching Algorithm based on Route Proximity
Dynamic Fare Prediction Engine based on Traffic and Distance
Real-Time GPS Location Tracking over WebSockets
Interactive Maps Integration for Mobile Clients
Automated OTP Verification & Secure Commuter Authentication
Admin Control Panel for Fleet Management
Dockerized Container Deployments for Scalable Hosting