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Uber-like Taxi Service Web Application

Table of Contents

Introduction

This project is a web application designed to solve the common problem of fare exploitation in ride-sharing services like Uber and Ola. Often, drivers demand extra fare over the metered amount, claiming that they won't get a return fare from certain areas. This web application includes a unique feature for drivers: Order Density Calculation, which recommends drivers the nearest places where they are more likely to get rides. This helps drivers find passengers more efficiently and ensures fair pricing for customers.

Features

  • Customer Dashboard: Allows users to select their pickup and drop-off locations, calculate distances, and send location data.
  • Driver Recommendations: Provides drivers with the best nearby areas to find passengers based on real-time order density calculations.
  • Real-Time Updates: Ensures seamless communication and updates between customers and drivers through WebSockets.
  • Fair Pricing: Helps to eliminate fare exploitation by ensuring that customers are charged a fair fare without any added charges.

Technologies Used

Frontend:

Backend:

Database:

Caching:

Authentication:

Containerization:

Getting Started

Prerequisites

Ensure you have the following installed on your machine:

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/uber-like-taxi-service.git
cd uber-like-taxi-service

  2. Install dependencies:

    npm install

  3. Set up environment variables by creating a .env file in the root directory:

    NEXT_PUBLIC_GOOGLE_API_KEY=your_google_api_key
NEXTAUTH_URL=http://localhost:3000
DATABASE_URL=postgresql://user:password@localhost:5432/yourdatabase
REDIS_URL=redis://localhost:6379

  4. Start the PostgreSQL and Redis services using Docker:

    docker-compose up -d

  5. Migrate the database schema:

    npx prisma migrate deploy

  6. Start the development server:

    npm run dev

Usage

  1. Navigate to http://localhost:3000 in your web browser.
  2. Sign in using the login button on the home page.
  3. Use the customer dashboard to select your pickup and drop-off locations.
  4. The dashboard will show the nearest areas with high order density based on real-time data.

Project Structure

├── components
│   ├── CustomerDashboard.tsx
│   └── DriverDashboard.tsx
├── pages
│   ├── api
│   │   └── finddrivers.ts
│   ├── _app.tsx
│   ├── index.tsx
│   └── ...
├── public
│   └── ...
├── styles
│   └── globals.css
├── utils
│   └── ...
├── prisma
│   ├── schema.prisma
│   └── ...
├── docker-compose.yml
├── package.json
└── ...