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Flight Price Predictor

Installation

  • Clone the repository.
  • Create a folder static in the root directory.
  • Add the rf_model.pkl file in the static folder.

For Frontend

  • Go to flight folder.
  • Run npm install.
  • Run npm start.

For Backend

  • In the root directory, run venv\Scripts\activate.
  • Run pip install -r requirements.txt.
  • Run python manage.py runserver.

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Predict Flight Travel Cost.

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