LifeRide ๐
Every Second Counts. Every Life Matters.
LifeRide is a cutting-edge emergency medical transportation platform connecting patients with ambulances in real-time.
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๐ฅ About LifeRide
LifeRide is revolutionizing emergency medical transportation by leveraging modern technology to save lives. Our platform seamlessly connects patients with the nearest available ambulances through an intuitive interface, providing real-time tracking, transparent pricing, and reliable service when it matters most.
Why LifeRide?
- โฑ๏ธ Reduced Response Time: Algorithmic matching of patients with the closest available ambulances
- ๐ Precision Location: Accurate GPS tracking for both patients and drivers
- ๐ฐ Transparent Pricing: Clear cost estimates before booking
- ๐ Real-time Updates: Live tracking and status notifications
- ๐ฒ Price Bidding System: Negotiate fares directly with drivers for non-emergency transport
- โญ Quality Assurance: Post-service rating system for continuous improvement
Key Metrics
AdaptiveSearch Radius |
24/7Service Availability |
100%Secure Transactions |
BiddingFare Negotiation |
๐ Table of Contents
๐ฅ Team
Core Developers
| Role | Name | GitHub |
|---|---|---|
| Team Leader | Imdad Rakib | |
| Developer | SA-K1B | |
| Developer | IAmAreza |
Project Mentor
๐ Project Overview
LifeRide is a comprehensive web-based platform designed to revolutionize emergency medical transportation by connecting users with nearby ambulance drivers in real-time. The system leverages Google Maps API integration and real-time notifications to provide a seamless experience during medical emergencies when every second counts.
Key Goals
- Reduce ambulance response time in emergencies
- Provide transparent pricing and ETA information
- Create a reliable platform for medical transport
- Enable real-time tracking and communication
โจ Key Features
For Users ๐ค
- Intuitive Profile Management: Create and manage your personal profile
- Location-Based Services: View nearby available ambulances on a map
- Route Planning: Add precise start and end locations for your journey
- Transparent Information: View ETA and approximate price before booking
- Seamless Booking: Request an ambulance with a single click
- Quality Control: Rate drivers and provide feedback after service completion
For Drivers ๐
- Professional Profiles: Create and manage driver profiles with vehicle details
- Availability Management: Toggle availability status to control incoming requests
- Request Handling: Accept or reject ride requests based on availability
- Trip Control: Start, track, and end rides through an intuitive interface
- Payment System: Manage payments and view earnings history
๐ System Architecture
Architecture Diagram

Services Overview
Our platform uses a microservices architecture with the following key components:
| Service | Description |
|---|---|
| Location Service | Tracks and manages real-time driver locations |
| Ambulance Finder Service | Identifies available ambulances within proximity |
| Auth Service | Handles user authentication and token validation |
| Trip Service | Manages trip creation, updates, and completion |
| WebSocket Service | Facilitates real-time communication between users and drivers |
System Flow Diagram

Operational Flow Explained
- User Request Initiation ๐ฑ
- User specifies start and end locations through the app interface
- Proximity-Based Ambulance Search ๐
- The Ambulance Finder Service locates available drivers within a 2km radius
- Driver Notification System ๐ฃ
- Available drivers receive notifications and can accept or decline
- Trip Commencement ๐ฆ
- Upon acceptance, real-time tracking is activated via Google Maps API
- Real-Time Updates ๐
- Users receive continuous updates on driver location, ETA, and trip status
- Service Completion and Feedback ๐ฏ
- Post-trip payment processing and driver rating system activation
๐ Database Design
The ER diagram illustrates our relational database structure, showing the relationships between users, drivers, trips, and other key entities.

๐ API Documentation
We maintain comprehensive API documentation to facilitate integration and development.
๐ป Tech Stack
Backend
- FastAPI: High-performance Python framework for building APIs
- Go: Used for performance-critical microservices
- WebSockets: For real-time bidirectional communication
Frontend
- React: JavaScript library for building user interfaces
- Redux: State management for the application
- Google Maps API: For mapping, routing, and location services
Infrastructure
- PostgreSQL: Relational database for storing application data
- Nginx: Load balancer for distributing traffic
- Docker: Containerization for consistent development and deployment
- CI/CD: Automated testing and deployment pipelines