This project is a Flask web application that predicts the fare of flight tickets using machine learning algorithms. To estimate the price, the prediction model considers various factors such as departure date, arrival date, source, destination, stops, and airline preference.
This section should list any major frameworks/libraries that bootstrap your project.
To get a local copy up and running, follow these simple steps.
Before you begin, ensure you have Python installed on your machine. You can check your Python version with the following command:
python --version
Also, make sure pip, the Python package installer, is up to date:
pip install --upgrade pip
Clone the repository to your local machine:
git clone https://github.com/Navya0203/Flight-Price-Prediction.git
Navigate to the project directory and install the required Python packages:
pip install -r requirements.txt
