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Project

e-Hailing Apps

Developed a complete e-hailing solution, including backend system, booking platform, and native mobile apps (Android and iOS) with integrated vehicle tracking.

Client

Swifter

Start Date

Sep 30, 2024
e-Hailing Apps
Description

Developed a complete e-hailing solution for a transportation company, empowering them to launch their own ride-hailing service and compete effectively in the market. This project encompassed a robust backend system, a user-friendly web-based booking platform, and native mobile apps for both riders and drivers (iOS and Android).

Key Features
  • Real-time ride booking and matching with optimized dispatch algorithms.

  • In-app GPS navigation for drivers with real-time traffic updates.

  • Secure mobile payments via Stripe and PayPal, including in-app wallet functionality.

  • Automated fare calculation based on distance, time, and surge pricing. 

  • Driver and rider profile management with verification and rating systems.

  • Admin dashboard for real-time tracking, comprehensive reporting, user management, and fare adjustments.

  • Push notifications for ride requests, confirmations, updates, and promotions.

  • Integrated customer support features within the apps.

Technologies Used
  • Mobile Apps: Flutter (iOS and Android)

  • Backend: Node.js, Laravel

  • Database: MySQL with optimized queries for real-time data access

  • Cloud Infrastructure: AWS (EC2, S3, RDS, Lambda)

  • Messaging: Firebase Cloud Messaging (FCM)

  • Mapping: Google Maps API

  • Payment Gateway Integration: Stripe, SenangPay

Design Highlights
  • Seamless User Experience: Prioritized user experience by designing intuitive interfaces for both riders and drivers, ensuring a smooth and efficient ride-hailing process. The rider app focuses on ease of booking, real-time tracking, and clear communication with the driver. The driver app emphasizes efficient trip management, navigation, and earnings tracking.

  • Real-time Tracking Optimization: Implemented a highly optimized real-time tracking system using GPS data and efficient data transfer protocols to minimize latency and ensure accurate location updates. This involved careful consideration of data frequency, bandwidth usage, and battery consumption on mobile devices.

  • Scalable Architecture: Designed a scalable and resilient backend architecture using AWS services to handle a large volume of concurrent users and ride requests. Leveraged load balancing, auto-scaling, and database optimization techniques to ensure high availability and performance.

  • Secure Payment Integration: Implemented secure payment processing using industry-standard encryption and tokenization techniques to protect sensitive financial data. Integrated with Stripe and PayPal APIs to provide users with flexible payment options.

  • Efficient Dispatch Algorithm: Developed and implemented a sophisticated dispatch algorithm that considers factors such as driver proximity, availability, and ride demand to optimize ride matching and minimize wait times for riders.

  • Cross-Platform Development: Utilized Flutter to build native mobile apps for both iOS and Android platforms, reducing development time and cost while maintaining a consistent user experience across devices.

  • Admin Dashboard Functionality: Created a comprehensive admin dashboard with real-time monitoring and reporting capabilities, providing the client with valuable insights into platform usage, performance, and user behavior.

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