
Flight Booking with Dynamic Pricing
Why Choose This Project?
Flight prices change constantly based on demand, time, season, seat availability, and historical data. This project simulates real-world airline dynamic pricing and allows users to book flights with fluctuating fares. It’s ideal for exploring pricing algorithms, full-stack web development, and user booking workflows.
Perfect for students interested in travel-tech, data-driven systems, or pricing engines.
What You’ll Get
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Full Source Code (Frontend + Backend)
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Search Flights by Origin, Destination, and Date
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Real-Time Seat Availability Check
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Dynamic Price Calculation Engine
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Booking and Payment Simulation
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Admin Panel to Manage Flights, Seats, Base Prices
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User Booking Dashboard (My Trips)
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Email Confirmation System
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Responsive Mobile-Friendly Design
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Setup Documentation
Working Flow
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User searches for flights (origin, destination, date).
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System fetches available flights and calculates real-time prices using dynamic logic.
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User selects flight and chooses seat(s).
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Price is updated based on seat type, availability, and booking time.
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User confirms and "pays" (simulated payment).
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Booking is stored, and confirmation email is sent.
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Admin can monitor bookings and adjust flight base prices manually.
Key Features
User Side
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Search flights by location/date
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View flights with live dynamic pricing
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View seat layout (window, aisle, economy, business)
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Dynamic fare calculation
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Book and receive ticket summary
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View past and upcoming bookings
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Download PDF ticket or receive email confirmation
Admin Side
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Secure admin login
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Add/manage flights, cities, schedules
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Set base prices and dynamic pricing parameters
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View all bookings
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Add promo codes or discounts
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Manage aircraft seat layout (optional)
Dynamic Pricing Logic
Price is calculated using:
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Base price +
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% Increase based on seat availability (fewer seats = higher price) +
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Time of booking (closer to departure = higher price) +
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Day of week (weekends = higher) +
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Peak season surcharges
Formula example:
FinalPrice=BasePrice+(AvailabilityFactor)+(TimeFactor)+(SeasonalFactor)Final Price = Base Price + (Availability Factor) + (Time Factor) + (Seasonal Factor)
Technology Stack
Layer | Technologies Used |
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Frontend | HTML5, CSS3, Bootstrap 5, JavaScript, jQuery |
Backend | Node.js (Express) / Java (Spring Boot) / PHP |
Database | MySQL / MongoDB |
Auth | JWT / Spring Security / Firebase Auth |
Charts | Chart.js (for admin flight trends) |
Nodemailer / JavaMail / SMTP API | |
PDF Ticket | jsPDF |