Data Sanitization and Restoring Using Python and ML Source Code

DataSecure Pro is a final year project built with Python Flask and machine learning for students who want a practical data privacy and sanitization web application. This final year project allows users to upload CSV or XLSX datasets, preview data, run sanitization modes such as masking, anonymization, cleaning, encoding, and sensitive-column detection, then download sanitized outputs. Users can also request controlled restoration of sanitized files, while admins approve, reject, or run restoration workflows using stored mappings where possible. The admin side of this final year project includes users, categories, sensitive data types, sanitize/restore rules, datasets, sanitized files, restoration tickets, ML models, value mappings, reports, and audit logs. With ML-assisted column detection, KPI exports, and governance workflows, DataSecure Pro is suitable for a final year major project in data privacy, Flask, ML, and cybersecurity.