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IPL Analytics and Prediction

Jupyter Notebook 86.12% Python 0.71% CSS 1.65% JavaScript 7.74% HTML 3.78%
flask python ibmhc2021 machine-learning cognos-dashboard

ipl-analytics-prediction-ibmhc2021's Introduction

IPL-Analytics-Prediction-IBMHC2021

  • Developed as a part of IBM Hack Challenge 2021.
  • Visualized the statistics of IPL teams:
    • At the start overs.
    • During powerplay.
    • At the death overs.
  • Predicted the first innings score based on the team’s performances.

Won the Special Jury Award

Team

Vaishnavi V V
G O Narendra
Shalini Annadurai
Aravinda B

Project Summary

  • The main objective of our project is to analyse the IPL stats of various matches and teams.
  • An Interactive AI Chatbot is also created using IBM Watson Assistant which serves as an IPL guide for beginners.
  • Dashboards are created for individual teams to provide an insight of their performance from the beginning of IPL.
  • First Innings scores pertaining to a match are predicted.

Tools

  • IBM Watson Studio (for notebooks)
  • IBM Watson Assistant (for chatbot)
  • IBM Cognos Analytics (for dashboards)
  • Flask:
    • For First Innings Score
    • Viewing Historical Records (team performances in previous years)

Demo Links

image

ipl-analytics-prediction-ibmhc2021's People

Contributors

narendrago avatar

Watchers

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Forkers

aravinda214

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