Skip to content

Latest commit

 

History

History
78 lines (45 loc) · 1.95 KB

README.md

File metadata and controls

78 lines (45 loc) · 1.95 KB
Raw

Flask

Score Master

Score Master is an application which uses machine learning algorithms to predict the score of the T20 cricket match A Ridge regression model is trained on IPL matches dataset from 2008 to 2019.

Application is live here :- https://ipl-score-master.herokuapp.com/

Demo

score-master-demo.mp4

Screenshots

Home Page

Enter the match situation

Predicted Score Range

Tech Stack

Client: Flask, Jinja2

Server: Ridge Regression model, Pickle module

Languages Python, HTML, CSS

Installation

Install Score Master (linux)

  - fork the repo
  - clone from your account
  - change to the cloned directory
  - activate veritula environment
  - run: pip install -r requirements.txt
  - run: export set FLASK_APP=webapp
  - navigate to folder which has app.py
  - run: python -m flask run

See the project running on localhost :)

Features

  • All stadiums available
  • All teams available
  • Changing Banner UI

Deployment

The Application has been deployed on heroku. Every new push to main branch automatically deploys the newer version.

pull from main, add changes, commit and push

    git pull origin main
    git add .
    git commit -m "your comment"
    git push origin main
  • note connect to your own heroku account.

Authors