- Flight fare prediction is a classical problem of time series forecasting that finds trends in past observations to outline the future
- Many popular flight booking websites today, including Google Flights, showcase important insights on:
- Current fair status: high, low or fair
- Past fare trends, upcoming future trends and
- Helps decide the right time to book a flight ticket.
- In this project, we are going to build a Python Flight Fare Prediction App, that returns the fare prediction for a given set of travel details, like: departure date, arrival date, departure city, arrival city, stoppages, and the airline carrier.
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Prerequisites: Python 3.9 (ensure Python is added to PATH) + Git Client
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Open GIT CMD >> navigate to working directory >> Clone this Github Repo (or download project files from GitHub directly)
git clone https://github.com/shoaib-1457/Flight-Price-Predictions.git
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Open Windows Powershell >> navigate to new working directory (cloned repo folder)
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Run Project in Flask (Using PIP + Virtualenv)
pip install virtualenv # install virtual environment virtualenv ENV # create virtual environment by the name ENV .\ENV\Scripts\activate # activate ENV pip install -r .\requirements.txt # install project dependencies python app.py # run the project deactivate # close virtual environment once done
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Prerequisites: Python 3.9
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Open Terminal >> navigate to working directory >> Clone this Github Repo (or download project files from GitHub directly)
git clone https://github.com/shoaib-1457/Flight-Price-Predictions.git
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Navigate to project working directory (cloned repo folder)
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Run Project in Flask (Using PIP + Virtualenv)
pip install virtualenv # install virtual environment virtualenv ENV # create virtual environment by the name ENV source ENV/bin/activate # activate ENV pip install -r requirements.txt # install project dependencies python app.py # run the project deactivate # close virtual environment once done
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