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RideShare

Carpooling app connecting drivers and passengers for cost-effective, eco-friendly shared rides

Flutter Node.js Express MongoDB

About This Project

RideShare is a comprehensive carpooling application that connects drivers with passengers traveling similar routes. The app promotes sustainable transportation by reducing traffic congestion and carbon emissions while saving users money on travel costs.

Key Features

  • Ride Posting & Discovery: Implemented system for drivers to post available rides with departure time, destination, and available seats, while passengers can search and filter rides by route and schedule.
  • Real-time Ride Matching: Built intelligent matching algorithm that connects passengers with drivers based on location proximity, route similarity, and departure time preferences.
  • In-app Messaging: Created secure chat system allowing drivers and passengers to communicate about pickup locations, timing adjustments, and ride details.
  • User Profiles & Ratings: Developed comprehensive user profile system with ratings, reviews, and verification badges to build trust and ensure safety.
  • Route Visualization: Integrated interactive maps showing pickup points, drop-off locations, and optimal routes with real-time traffic updates.
  • Payment Integration: Implemented split-cost calculation and payment processing for seamless fare splitting among passengers.

Technical Implementation

Full-stack application built with Flutter for mobile, Node.js/Express backend, and MongoDB for data storage:

  • RESTful API with Express.js for all backend operations
  • MongoDB with geospatial indexing for location-based queries
  • Google Maps API integration for route planning and visualization
  • Real-time messaging using WebSocket connections
  • JWT-based authentication and authorization

Challenges & Solutions

Implementing efficient geospatial queries for ride matching required using MongoDB's geospatial features and creating appropriate indexes to ensure fast query performance even with large datasets.

Balancing real-time updates with battery efficiency in the mobile app was achieved through optimized polling intervals and WebSocket connection management.

Demo Video

App Walkthrough

Technologies Used

Frontend

  • Flutter
  • Dart
  • Google Maps API
  • Custom UI Components

Backend

  • Node.js
  • Express.js
  • MongoDB
  • WebSocket

Features

  • Geolocation Services
  • Real-time Messaging
  • Payment Processing
  • Rating System

Interested in this project?

Check out the source code and documentation on GitHub

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