AI-Powered Privacy Protection Techniques for Smartphones

– In today’s hyper-connected digital environment, smartphone applications frequently collect and share user data without explicit consent, posing serious privacy risks. The rise of cross-app tracking, location monitoring, and behavioral profiling by advertising and analytics platforms demands proactive protection. This paper presents an AI-powered Android application that safeguards user privacy in real time. Utilizing a local VPN service, the application intercepts outgoing network traffic and employs an on-device machine learning model built with TensorFlow Lite to detect and block potential trackers and unauthorized data transmissions. It alerts users whenever sensitive resources such as the microphone, location, or camera are accessed. The app also includes a user-friendly dashboard for reviewing historical tracking attempts. Designed to be lightweight and fully functional offline, the system ensures robust privacy without relying on cloud-based monitoring. This approach offers a secure and practical solution to modern digital privacy challenges, particularly on mobile platforms.