This is a Machine Learning-powered IPL Win Predictor web app built with Python and Streamlit.
📍 Live App:
🔗 Click here to try it out!
- Predicts the winning probability of an IPL team in a live match scenario.
- Takes into account:
- Batting & Bowling teams
- Target score
- Current score, overs completed, and wickets
- Match location
- Clean and interactive UI with Streamlit
- A classification model is trained on historical IPL data.
- The model learns patterns from features like:
- Runs left
- Balls left
- Current run rate
- Required run rate
- Wickets in hand
- Outputs probabilities for both teams
| Technology | Role |
|---|---|
| Python | Core language |
| Pandas | Data handling |
| scikit-learn | ML pipeline & modeling |
| Streamlit | Web app framework |
| Pickle | Model serialization |
git clone https://github.com/SrishtiSinha2003/IPL-Predictor.gitcd IPL-Predictorpip install -r requirements.txtstreamlit run webapp.pyThis project is licensed under the MIT License.
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