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Joined - December 2025
This advanced Flight Price Prediction GUI includes:
Features: 1. Modern Tabbed Interface:
📊 Prediction Tab: Main interface for price prediction
📈 Analytics Tab: Interactive visualizations of flight data
📋 History Tab: Store and view previous predictions
⚙️ Settings Tab: Model configuration and data management
2. Prediction Features:
Multiple input fields (airline, cities, class, stops, times)
Interactive sliders for duration
Quick fill buttons for common scenarios
Real-time prediction with confidence scores
3. Analytics & Visualizations:
Price distribution histogram
Average price by airline comparison
Price vs duration scatter plot
Class distribution pie chart
Interactive matplotlib charts
4. Machine Learning:
Random Forest Regressor for predictions
Model training with accuracy feedback
Export/import model functionality
Sample data generation with realistic patterns
5. Additional Features:
Dark/Light theme toggle
Prediction history with JSON storage
Model training controls
Responsive design
Error handling and validation
Requirements:
bash
pip install tkinter pandas numpy matplotlib scikit-learn seaborn To Run:
python
python flight_price_predictor.py
The application will:
Generate sample flight data
Train a machine learning model
Launch the GUI interface
Allow you to predict flight prices with visual analytics
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