Automated Student Data Privacy Compliance Validation Framework

Design a comprehensive Python script using pandas and scikit-learn that automatically validates student data collection practices against FERPA and GDPR regulations. The script should parse institutional data collection forms, cross-reference privacy clause requirements, generate compliance risk scores, and produce a detailed audit report with specific regulatory violations. Include machine learning-based predictive modeling to identify potential future compliance risks across different educational data collection scenarios.