During the IPL season , we all love to watch matches between our favourite teams and predict the score of the team would
be scoring in an innings . Our project will assist you in predicting the score of first innings of an IPL match.
It use machine learning algorithm and based on data of previous played IPL match from year 2008-2021 from kaggle dataset
to help in predicting score of `TATA IPL 2022` and using Flask we have developed a web app and deployed it using Vercel.
Novelity of our project would be including the dataset for two new teams for Gujurat and Pune in our dataset through we scrapping and adjust it such that predictions could me made for new teams as well.
Instructions to use the website :
- Select the Bowling and Batting Team
- With minimun threashold value of 6.0 overs give number of over passed
- Provide current run scored and number of wickets fallen
- Provide run scored and number of wickets fallen in last 5 Overs (to track current performance
- Predicting the final score of first inning with comparision of different machine learning models such as :
- Linear Regression
- Ridge Regression
- Random Forest Regression
- Multi Layer Perceptron
• This repository consists of files required to deploy a IPL Prediction Machine Learning Web App created with Flask and hosted on Vercel platform.
• The following link contains the repository foe : Code, Algorithms used and Accuracy of the model. Click
the link mentioned below for the same:
Repo Link: https://github.com/Vice777/IPL_Predictor
• Use of multiple Machine Learning Models for better comparision of the score .
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| Ameya Shrikant | Vivek Dharewa | Shivang Singh Negi |
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