🚗Flutter (Dart) · iOS & Android

RideZ Carpooling App

Carpooling platform with real-time driver matching, route optimisation, split fare calculation, and in-app messaging.

38
Screens
11 wks
Delivery Time
8K+
Rides in Month 1
4.7★
Average Rating

App Preview

App Screenshots

Visual representation of key screens from the delivered app

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Home

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Explore

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Detail

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Profile

Available on the

App Store

Get it on

Google Play

Project Specs

Technology & Details

Platform

iOS & Android

Flutter (Dart)

Timeline

11 weeks

Build Duration

Investment

$13,500

Project Cost

Completed

2025

Year Delivered

Technology Stack

Core technologies used

Flutter 3.xDartGoogle Maps SDKGoogle Directions APINode.js + PostgreSQLFirebaseStripe API

App Scope

Platform coverage & scale

Framework

Flutter

Platforms

iOS & Android

Screens

38 screens

Category

Transport

Project Overview

About This Project

RideZ is a BlaBlaCar-style carpooling app for daily commuters. We built a Flutter app with Google Maps route matching, an algorithm that groups riders going the same direction, dynamic fare splitting, in-app messaging between matched riders and drivers, and a rating system to build community trust.

What We Built

Key Features

Driver and rider matching
Route optimisation algorithm
Dynamic fare splitting
In-app rider–driver chat
Rating & review system
Scheduled rides in advance

Deliverables

Everything We Delivered

01

Rider App Flow

Enter destination, view matching drivers, book and pay — under 30 seconds.

02

Driver App Flow

Publish route, accept riders, navigate with turn-by-turn, receive payout.

03

Matching Engine

Node.js algorithm matches riders to drivers within 800m of their route.

04

Fare Calculator

Dynamic fare based on distance and splits evenly across riders.

05

Chat

Firebase real-time messaging between matched riders and driver pre-pickup.

06

Trust & Safety

Profile verification, rating display, and report system.

Share This Case Study

Share:

We had 8,000 completed rides in our first month with zero marketing spend — just organic word of mouth. The matching algorithm is incredibly accurate.

B
Bilal H.
Co-Founder, RideZ
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