🏏 CricVis

This project analyzes cricket highlights videos to extract and predict key data points using computer vision and machine learning techniques.

📌 Key Features

• Ball Speed Detection 🏎️
• Ball Trajectory Prediction 📈
• Ball Type Classification 🎯
• Batter Shot Detection 🏏
• Bowler Action Recognition 🎥

📂 Project Structure

Cricket-Analysis/
│── ball_detect.py           # Detects the ball
│── ball_speed.py           # Detects and calculates ball speed 
│── ball_tracking.py      # Predicts the trajectory of the ball  
│── ball_type.py            # Classifies the type of delivery  
│── bat_stroke.py          # Identifies batter’s shot type  
│── bowler_detection.py      # Recognizes the bowler’s action  
│── requirements.txt        # Dependencies for running the project  
│── README.md               # Documentation  

🛠️ Installation

1. Clone this repository

   git clone https://github.com/hiteshchandra44/Cricket-Analysis.git
   cd Cricket-Analysis

2. Install dependencies

   pip install -r requirements.txt

3. Run individual modules

   python ball_speed.py

🏗️ Future Enhancements

• Improve accuracy using deep learning models.
• Add real-time analysis with OpenCV.
• Train a custom model for more precise classification.

📜 License

This project is open-source under the MIT License.