Web app link: https://airplane-fare-predictor.herokuapp.com/
Web appication that predicts the flight fare of an airplane travel in india. built using Flask for building application and sklearn was used to implement machine learning model (SVR) to predict. The site was hosted on Heroku.
The Code was written in Python 3.9.1. To install the required packages and libraries, run this command in the project directory after cloning the repository:
pip install -r requirements.txt
│ app.py
│ FARE DATA.xlsx
│ Procfile.txt
│ requirements.txt
│ runtime.txt.txt
│ SVR MODEL.ipynb
│
├───PKL FILES
│ fare_model.pkl
│ feature_scale_model.pkl
│ X_feature_scale_model.pkl
│
├───static
│ ├───css
│ │ Home.css
│ │ nicepage.css
│ │
│ ├───images
│ │ 4353032.png
│ │ min.jpg
│ │
│ └───js
│ jquery.js
│ nicepage.js
│
└───templates
Home.html
index.html
- Improve the ML algorithm
- Optimize web app features
- Improving UI design