Developed a robust Privacy Tool aimed at strengthening data security with advanced data anonymization techniques. Key features of this tool include:

- Data Masking, Generalization, and Encryption: These core functions protect sensitive information by masking or generalizing data where necessary and using encryption for secure storage and access.

- Machine Learning Integration: Incorporated machine learning algorithms to recommend optimized privacy strategies, adapting anonymization techniques to specific data types and user needs.

- User-Friendly Interface: Built a seamless, accessible web interface using Flask to facilitate easy interactions, allowing users to intuitively select and apply privacy settings.

The tool was implemented using Python, leveraging its libraries for data processing and machine learning, resulting in a highly effective solution for managing data privacy and confidentiality.