Catch Flights Not Feelings ✈️ (Capstone Project)

This project was built as part of my Senior Capstone at the University of Arizona. It’s a comprehensive web tool designed to help travelers plan more efficiently by predicting flight delays. The project combines machine learning with web development to deliver actionable insights for flyers.

Project Overview

Predicts likelihood of delays by departure airport & carrier
Shows average delay times and key contributing factors
Interactive visualizations to help travelers understand delays

Tech Stack: HTML, CSS, JavaScript, Python (ML & Data Visualization)

Team: Rashid Jama Abdi, Uyi-osa Irowa, Ibrahim Rafiq

Demo Video

Try It Yourself

You can download the full project (source code, data, and instructions) below. Unzip the file and run app.py to launch the Flask app locally.

Download Project Files