🚖 Automated Ride-Sharing Fare Calculator & Logger

Overview

The Automated Ride-Sharing Fare Calculator & Logger is a Python-based console application developed using Object-Oriented Programming (OOP) concepts. It allows a rider to log completed rides, automatically calculates the ride fare based on ride type and time slot, stores ride details in a log file, and generates a daily revenue report.

This project demonstrates the practical implementation of classes, objects, file handling, dictionaries, lists, and menu-driven programming in Python.

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Features

• Log completed rides
• Automatic fare calculation
• Dynamic pricing using nested dictionaries
• View all rides logged during the session
• Store ride history in a text file
• Generate a daily revenue report
• Menu-driven console interface
• Uses Object-Oriented Programming (OOP)

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Fare Pricing

Standard Ride

Time Slot	Price per km
Morning	₹15
Afternoon	₹18
Evening	₹20
Night	₹24

Premium Ride

Time Slot	Price per km
Morning	₹22
Afternoon	₹25
Evening	₹28
Night	₹35

Fare Formula

Fare = Distance × Rate per Kilometer

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Technologies Used

• Python 3
• Jupyter Notebook
• Object-Oriented Programming (OOP)
• File Handling
• Lists
• Dictionaries

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Project Structure

Automated Ride-Sharing Fare Calculator & Logger/
│
├── FareCalculator.ipynb        # Main project
├── Ridelog.txt                 # Stores completed rides
├── daily_ride_report.txt       # Daily revenue report
├── .gitignore
└── README.md

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Menu Options

1. Log Ride
2. Today's Rides
3. Today's Revenue Report
4. Exit

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Sample Workflow

1. Enter Rider ID and Rider Name.

2. Select Log Ride.

3. Enter:

   • Customer Name
   • Pickup Location
   • Drop Location
   • Distance
   • Ride Type (Standard/Premium)
   • Time Slot (Morning/Afternoon/Evening/Night)

4. The application calculates the fare automatically.

5. Ride details are stored in Ridelog.txt.

6. Select Today's Revenue Report to generate daily_ride_report.txt.

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OOP Concepts Used

• Classes and Objects
• Constructors
• Instance Variables
• Methods
• Encapsulation
• Method Overriding (__str__)
• Object Composition

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Learning Outcomes

This project helped in understanding:

• Object-Oriented Programming in Python
• Menu-driven application development
• Dynamic fare calculation
• Nested dictionaries
• File reading and writing
• Report generation
• Basic Git and GitHub project management

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Future Enhancements

• Rider login system
• Customer database
• Date and time-based ride history
• Monthly revenue reports
• CSV/Excel export
• Graphical User Interface (Tkinter)
• Database integration (SQLite/MySQL)

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Author

Asish Amitansu Rout

MCA Student | Python | Data Analytics

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License

This project is created for educational and learning purposes.