URL FOR HOSTED APP

https://ds-flights-5.onrender.com

Overview

• data/: Directory containing the dataset(s).
• templates/: Directory containing HTML templates.
• app.py: The main Flask application file.
• forms.py: File containing form definitions and data loading logic.
• model-training.ipynb: Jupyter notebook used for training the model.
• model.joblib: Serialized model file.
• README.md: This file.

Features

• Predicts flight prices based on input parameters.
• Web interface built using Flask.
• Deployed on Render for public access.

Setup Instructions

Prerequisites

• Python 3.x
• pip (Python package installer)
• virtualenv (for creating virtual environments)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/DS_Flights.git
cd DS_Flights

2. Create a virtual environment and activate it:

python -m venv env
source env/bin/activate  # On Windows, use `env\Scripts\activate`

3 Install the required packages:

pip install -r flask_proj/requirements.txt

4 Run the Flask application:

cd flask_proj
gunicorn --pythonpath flask_proj flask_proj.app:app --bind 0.0.0.0:$PORT

To run locally

cd flask_proj
python app.py