IPL Match Winner Predictor

Overview

This project is designed to predict the winner of an IPL match based on several input parameters. The application uses a machine learning model to make predictions and is built with Flask for the backend. Dataset can be found here.

Features

• Input Parameters:

  • Home Team
  • Away Team
  • Venue
  • Toss Won By
  • Decision (Bat/Field)
  • Net Run Rate (NRR)

• Output:

  • Predicted Winner of the match

Technologies Used

• Backend: Flask
• Machine Learning Model: XGBoost
• Data Handling: Pandas

Setup

Prerequisites

• Python
• Flask
• Pandas
• Scikit-learn
• XGBoost

Installation

1. Clone the Repository:

   git clone <repository-url>
   cd <repository-directory>
   

2. Create and Activate a Virtual Environment:

   python3 -m venv venv
   venv\Scripts\activate
   

3. Run the Application:

   python app.py**:
   

The application will be available at http://127.0.0.1:5000.

Usage

License

This project is licensed under the MIT License. See the LICENSE file for details.