🚖 FareCalc – Travel Optimizer (Python)

This project is a simple Python-based fare calculation system developed for a ride-sharing startup scenario. It calculates the ride cost based on distance, vehicle type, and time of the day.

The system also includes real-world logic such as surge pricing during peak hours, minimum fare constraints, and long-distance discounts.

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🚀 Project Overview

The FareCalc system allows users to:

• Enter distance (in km)
• Select vehicle type (Economy / Premium / SUV)
• Enter time (hour of the day)

Based on these inputs, the system calculates the final fare and displays a formatted receipt.

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🛠️ Features

• 📊 Vehicle-based pricing using dictionary mapping
• ⏰ Surge pricing (1.5x) during peak hours (5 PM – 8 PM)
• 🧾 Formatted fare receipt
• ⚠️ Input validation (distance, hour, vehicle type)
• 🔁 Case-insensitive vehicle input handling
• 💰 Minimum fare enforcement (₹50)
• 🎯 Long-distance discount for trips above 20 km

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📁 Project Structure

▶️ How to Run

1. Open terminal / command prompt
2. Navigate to project folder cd "FareCalc Travel Optimizer"
3. Run the program

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📸 Screenshots

🔹 Normal Case (No Surge)

🔹 Peak Hour Surge

🔹 Invalid Vehicle Type

🔹 Invalid Distance

🔹 Invalid Hour

🔹 Non-Numeric Input

🔹 Case Insensitive Input

🔹 Long Distance Discount

🔹 Minimum Fare Applied

🔹 Surge + Discount

🔹 Edge Case (Zero Distance)

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🧠 Concepts Used

• Python Dictionaries
• Functions
• Conditional Statements
• Exception Handling
• User Input Handling

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🎯 Key Learnings

• Implementing real-world business logic in Python
• Handling edge cases and invalid inputs
• Writing clean and structured code
• Improving user experience with validations

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👨‍💻 Author

Akhilananda Teja Sanga