Cricket Score Predictor 🏏

This project is a web application that predicts cricket scores using machine learning.
It's built with Flask and utilizes a pre-trained model to provide insights into potential scores during a T20 match.

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Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• Project Structure
• Contributing
• License
• Contact

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Features

• Predict Live Scores: Get real-time predictions for cricket scores.
• User-Friendly Interface: Simple and intuitive web interface for inputting match details.
• Machine Learning Powered: Uses a pre-trained model (pipe.pkl) for accurate predictions.

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Technologies Used

• Python: The core language for the application.
• Flask: Web framework for building and running the application.
• Scikit-learn / Pandas / NumPy: For data manipulation and machine learning.
• HTML/CSS: For the front-end user interface.

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Installation

To get a local copy up and running, follow these steps:

# Clone the repository
git clone https://github.com/keshav7x404/Cricket_Score_Predictor.git

# Navigate to the project directory
cd Cricket_Score_Predictor

# Create a virtual environment (recommended)
python -m venv venv

# Activate virtual environment
# On Windows use:
venv\Scripts\activate
# On Linux/Mac use:
source venv/bin/activate

# Install the required dependencies
pip install -r requirements.txt
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#Run the Flask application:
python app.py
├── static/                # Static files (CSS, JS, images)
│   ├── css/
│   └── images/
├── templates/             # HTML templates
│   └── index.html
├── Cricket Score Predictor.ipynb   # Jupyter notebook with model training
├── app.py                 # Flask application
├── pipe.pkl               # Pre-trained machine learning model
├── requirements.txt       # Python dependencies
├── t20_info.csv           # Dataset used for training
└── README.md              # This README file

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Project Link: Cricket Score Predictor