Flight Ticket Booking System — Python CLI

A fully interactive, real-world flight reservation system built using pure Python (no frameworks) and JSON file storage. Supports global + Indian capital routes, automatic daily flight generation, bold terminal UI, two-way search, ticket booking, PNR generation, and booking management.

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Features

•  Search flights both directions (A → B & B → A)
•  Auto-generated flights daily
•  Domestic + international capital cities
•  Real-time future travel dates
•  Departure, arrival & duration calculation
•  Book up to 3 passengers per ticket
•  Passenger details stored (name, age, gender)
•  Auto-generated unique PNR number
•  Persistent storage using JSON
•  Seat availability updates after booking
•  View all bookings anytime
•  Cancel bookings & restore seats
•  Bold, clean terminal output — no emojis
•  Pure Python data structures — beginner-friendly

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🛠️ Tech Stack

Component	Technology
Language	Python 3.x
Storage	JSON files
Data	Lists & Dictionaries
UI	Command-Line Interface

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📂 Project Structure

Flight Ticket Booking System/
│
├── app.py
├── flights.json
└── bookings.json

• app.py → main application logic
• flights.json → live flight data
• bookings.json → confirmed ticket records

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How to Run

1. Clone the repository:

git clone https://github.com/SahirC22/flight-ticket-booking-system.git
cd flight-ticket-booking-system

2. Run the program:

./app.py

(Use python3 if required)

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Menu Options

1. Search Flights
2. Book Ticket
3. View Bookings
4. Cancel Booking
5. Exit

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🔍 Flight Search Example

Enter source city: Delhi
Enter destination city: Mumbai

• Shows available flights
• Sorted cheapest first
• Both directions included

Example output:

Available flights between Delhi and Mumbai (both ways):

ID: 12 | Vistara | 2025-11-27 09:45 → 14:20 | Seats: 18 | Price: ₹6200 | Duration: 4h 35m

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Booking Example

Enter flight ID to book: 12
How many passengers? (1-3): 2

Result:

Booking Confirmed! Booking ID: 7 | PNR: X8PQ9K

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JSON Booking Record Example

{
  "booking_id": 7,
  "pnr": "X8PQ9K",
  "flight_id": 12,
  "airline": "Vistara",
  "date": "2025-11-27",
  "passengers": [
    { "name": "Amit", "age": "24", "gender": "M" },
    { "name": "Riya", "age": "22", "gender": "F" }
  ],
  "total_seats": 2,
  "total_price": 12400
}

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🌍 Supported Cities

• All Indian state/UT capitals
• Major world capitals — London, Tokyo, Washington DC, Paris, Dubai, etc.
• Random flight generation between any two capitals

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Learning Outcomes

• File handling & JSON storage
• CLI program structuring
• Searching & sorting logic
• Random data generation
• ANSI bold formatting
• Data persistence in Python
• Realistic booking logic

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Ideal For

• Python beginners
•  College mini-project
•  Portfolio showcase
•  Offline flight booking simulation
•  Learning CRUD operations without databases

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🤝 Contributing

Pull requests are welcome — feel free to improve UI, add features, or optimize logic!

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📜 License

Free to use, modify & learn from — educational & personal projects welcome 

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Developed by

Abdus Sahir Choudhury

Assam down town University 

B.Tech CSE | Python | GenAI Developer