IPL-Player-Valuation-AI

IPL ValueAI

A machine learning dashboard that predicts IPL auction prices based on player stats and identifies undervalued/overvalued players.

Live Pages

• Home — Hero stats, methodology, top value gaps
• Players — Search and filter all 42 players
• Value Gap — Visual breakdown of over/undervalued players
• Model — Feature importance, scatter plots, model metrics (R²=0.87)

Running Locally

Just open index.html in a browser, or serve with any static server:

npx serve .
# or
python -m http.server 8000

Data Pipeline (optional)

To regenerate data from Cricsheet YAML files:

pip install pandas scikit-learn pyyaml numpy
python pipeline/process_ipl_data.py

Place Cricsheet IPL YAML files in a cricsheet_data/ folder first.

Stack

• Vanilla HTML/CSS/JS + Tailwind CDN
• Python + scikit-learn (Gradient Boosting) for the model
• Data from Cricsheet.org