✈️ DFW Flight Operations Intelligence System

Real-time flight tracking and analysis system for Dallas Fort Worth International Airport.

🎯 Overview

As an aviation enthusiast living near DFW, I built this to analyze flight patterns from one of the world's busiest airports. Combines my passion for aviation with data science.

✨ Features

• Real-Time Data Collection from aviation APIs
• Domestic/International Separation for targeted analysis
• Interactive Web Dashboard with Flask
• Statistical Analysis with Pandas
• Data Visualizations with Matplotlib
• Scalable Architecture - easy to add routes

🛠️ Technologies

• Python 3.12
• Flask (web framework)
• Pandas (data analysis)
• Matplotlib (visualization)
• AviationStack API

📊 Key Insights

• American Airlines dominates DFW (their HQ hub)
• DFW → LA is busiest domestic route
• Code-sharing creates interesting patterns
• Real-time tracking shows operational efficiency

🚀 Installation

Prerequisites

• Python 3.8+
• pip

Setup

1. Clone repository:

git clone https://github.com/YOUR_USERNAME/dfw-flight-tracker.git
cd dfw-flight-tracker

2. Create virtual environment:

python -m venv venv
venv\Scripts\activate  # Windows
source venv/bin/activate  # Mac/Linux

3. Install dependencies:

pip install -r requirements.txt

4. Get API key from AviationStack

5. Add your API key to the code

📖 Usage

Collect Data

python flight_tracker.py

View Analysis

python analyze.py

Launch Dashboard

python app.py

Then visit: http://127.0.0.1:5001

📁 Structure

dfw-flight-tracker/
├── flight_tracker.py    # Data collection
├── analyze.py           # CLI analysis
├── app.py              # Web dashboard
├── data/               # CSV storage
├── requirements.txt    # Dependencies
└── README.md          # Documentation

🎓 About

Developer: Hamza Sarfraz
School: University of Texas at Dallas
Major: Computer Science (Freshman)
Focus: Data Science & Aviation Analytics

📝 License

MIT License - Open Source

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