flight_fare_prediction_099

This is an app to predict flights fare

Table of Content

• Demo
• Overview
• Motivation
• Installation
• Deployement on Heroku
• Directory Tree
• Bug / Feature Request
• Future scope of project

Demo

Overview

This is a Flask web app which predicts fare of Flight ticket.

Motivation

Started learning so many modules throught data glacier internship programme, proud to be a part of it.

Installation

The Code is written in Python 3.6.10. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt

Deployement on Heroku

Login or signup in order to create virtual app. You can either connect your github profile or download ctl to manually deploy this project.

Our next step would be to follow the instruction given on Heroku Documentation to deploy a web app.

https://flight-price-prediction-api.herokuapp.com/predict

Directory Tree

├── static 
│   ├── css
├── template
│   ├── home.html
├── Procfile
├── README.md
├── app.py
├── flight_price.ipynb
├── flight_rf.pkl
├── requirements.txt

Technologies Used

Bug / Feature Request

Got many more bugs while running app on heroku, kindly guide me on this part.

Future Scope

• Use multiple Algorithms
• Optimize Flask app.py
• Front-End