Estimate a football player's market value using a machine learning model wrapped in a clean, responsive Flask web interface.

• Web UI built with Flask, HTML/CSS, and JavaScript
• Input key player stats and get an instant market value prediction
• Real-world inspired use case for scouts, agents, and analysts

• Python (Flask, scikit-learn)
• HTML / CSS / JavaScript
• pandas, numpy

1. Install dependencies: pip install -r requirements.txt
2. Start the Flask app: python app.py
3. Open your browser and visit: http://127.0.0.1:5000
4. Fill in required player stats and submit to get a market value estimate.