🏏 IPL Score Predictor using Deep Learning

A Machine Learning and Deep Learning project that predicts the final IPL innings score based on the current match situation.

This project is built using Python, TensorFlow/Keras, Scikit-learn, and Jupyter Notebook.

---

📌 Project Overview

The model predicts the expected final score of an IPL innings using current match information such as:

• Batting Team
• Bowling Team
• Venue
• Current Runs
• Wickets Lost
• Overs Completed
• Current Batsman
• Current Bowler

The categorical features are encoded using LabelEncoder, numerical features are scaled using MinMaxScaler, and the prediction model is implemented using a Deep Neural Network.

---

🚀 Technologies Used

• Python
• Pandas
• NumPy
• TensorFlow / Keras
• Scikit-learn
• Matplotlib
• Seaborn
• ipywidgets (Interactive UI)

---

📂 Dataset Features

The dataset contains the following important features:

• Venue
• Batting Team
• Bowling Team
• Batsman
• Bowler
• Runs
• Wickets
• Overs
• Runs in Last 5 Overs
• Wickets in Last 5 Overs
• Striker Runs
• Non-Striker Runs

Target Variable

• Total Score

---

🧠 Deep Learning Model

Model Architecture:

• Input Layer
• Dense Layer (64 neurons, ReLU)
• Dense Layer (32 neurons, ReLU)
• Output Layer (1 neuron, Linear)

Loss Function:

• Huber Loss

Optimizer:

• Adam

---

📊 Workflow

1. Load IPL Dataset
2. Data Preprocessing
3. Label Encoding
4. Feature Selection
5. Train-Test Split
6. Feature Scaling
7. Train Deep Learning Model
8. Predict Final Score
9. Interactive Prediction using ipywidgets

---

📁 Project Structure

IPL-Score-Predictor/
│
├── IPL_Score_Predictor.ipynb
├── ipl_data.csv
├── README.md

---

⚙️ Installation

Clone the repository:

git clone https://github.com/YOUR_USERNAME/IPL-Score-Predictor.git

Move into the project directory:

cd IPL-Score-Predictor

Install dependencies:

pip install -r requirements.txt

Run the notebook:

jupyter notebook

---

📈 Future Improvements

• Deploy using Gradio
• Deploy on Hugging Face Spaces
• Save and Load trained model
• Improve prediction accuracy
• Better UI design
• Real-time IPL score prediction

---

🤝 Contributing

Contributions, suggestions, and improvements are welcome.

Feel free to fork this repository and submit a pull request.

---

👨‍💻 Author

Rishav Chaurasiya

B.Tech CSE (2023–2027)

Interested in:

• Artificial Intelligence
• Machine Learning
• Data Science
• Deep Learning

---

⭐ Support

If you found this project helpful, please consider giving it a ⭐ on GitHub.