/Flight-Recommendation

Primary LanguageJupyter Notebook

Flight Delay Prediction System

A system made to predict flight delays using ML models.

Pre-requisite

Install the NYC Flights Dataset from Kaggle.
Kaggle Dataset Link

Installation and Deployment

  1. To setup this project, install necessary external libraries mentioned below in terminal.
  pip install streamlit
  pip install joblib

  1. Run the Jupyter Notebook(.ipynb) once to create the flight_recommend.pkl and encoders.pkl file in your local system.

  2. Run app.py file using the streamlit command.

  streamlit run app.py

Features of the system

  • Flight departure delay prediction
  • Fast and effective
  • User friendly UI using Streamlit