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Tariqi

The Tariqi project is a ride-hailing platform, SmartRide, utilizing a tech stack of Flutter, Node.js, MongoDB, and various APIs for features like ride creation, real-time tracking, and payment integration. The platform focuses on optimizing ride-sharing based on user preferences, ensuring efficiency and convenience. The project follows an agile development approach with a structured workflow and timeline for implementation.

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0% found this document useful (0 votes)
26 views3 pages

Tariqi

The Tariqi project is a ride-hailing platform, SmartRide, utilizing a tech stack of Flutter, Node.js, MongoDB, and various APIs for features like ride creation, real-time tracking, and payment integration. The platform focuses on optimizing ride-sharing based on user preferences, ensuring efficiency and convenience. The project follows an agile development approach with a structured workflow and timeline for implementation.

Uploaded by

peter.boles06
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Ride-Hailing App Project Documentation

1. Project Overview
Project Name: Tariqi

Technology Stack:

 Frontend: Flutter
 Backend: Node.js (Express.js)
 Database: MongoDB
 Authentication: JWT / Firebase Auth
 Real-time Communication: WebSockets
 Payment Integration: Stripe / Paymob
 Maps & Routing: Google Maps API / OpenStreetMap

Project Objective:

SmartRide is a dynamic ride-hailing platform that allows users to create and join rides based
on their preferred routes, time constraints, and driver schedules. Unlike traditional ride-
hailing services, SmartRide offers ride-sharing optimization by considering multiple user
preferences while ensuring efficiency and time-bound rides.

2. User Scenarios
User Registration & Authentication

 Users sign up/login using email, phone number, or social accounts.


 Drivers and passengers have different profile settings.
 Users set their home/work locations for quick access.

Ride Creation & Matching

 Passengers: Enter pickup & destination, preferred time range.


 Drivers: Set available ride schedule and route.
 The system matches passengers based on similar routes and timing.
 Rides are auto-adjusted to optimize shared routes.
 Passengers receive ride options based on time and available seats.

Dynamic Ride Management

 The system calculates the best pickup/drop-off sequence.


 If a new passenger joins, the estimated arrival time is recalculated.
 A maximum trip duration threshold ensures a fair ride experience.

Real-time Tracking & Notifications

 Live ride status updates via WebSockets.


 Passengers get real-time driver ETA updates.
 Notifications for ride start, delays, and cancellations.

Payments & Rating System

 Cashless payments via Stripe or Paymob.


 Users can rate drivers and fellow passengers.

3. Project Workflow & Structure


Frontend (Flutter)

 Pages:
o Login/Register
o Home (Search/Create Ride)
o Ride Details (Join/Track Ride)
o Driver Dashboard (Manage Rides)
o Payments & Profile Settings

Backend (Node.js + MongoDB)

 APIs:
o User Authentication: /api/auth/signup, /api/auth/login
o Ride Management: /api/rides/create, /api/rides/join,
/api/rides/update
o Real-time Updates: WebSocket /ws/rides
o Payments: /api/payments/checkout

4. Working Timeline
Phase Task Duration Team Members
Week 1 Planning, Setup, Tech Stack Selection 3-4 Days Everyone
Week 2 User Authentication (Frontend & Backend) 1 Week Backend (2), Frontend (2)
Week 3 Ride Creation & Matching Algorithm 1 Week Backend (2), Frontend (2)
Week 4 Real-time Tracking & WebSockets 1 Week Frontend (2), Backend (2)
Week 5 Payments & Notifications 1 Week Backend (2), Frontend (2)
Week 6 Testing, Debugging, UI Enhancements 1 Week Everyone
Week 7 Final Deployment & Presentation 2-3 Days Everyone

Conclusion

This document outlines the structure, workflows, and key features of the SmartRide project.
The team will follow an agile approach, iterating on features while ensuring smooth
integration between frontend and backend components. With structured APIs and real-time
tracking, we aim to deliver a seamless ride-sharing experience that optimizes travel time
while enhancing user convenience.

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