Published Paper Details:

The Smart File Recovery System is an advanced data recovery application designed to retrieve deleted files such as photos, videos, audio, and documents, even after they have been permanently removed from the recycle bin. The system leverages powerful Python-based recovery algorithms combined with intelligent file detection and classification techniques to ensure accurate and efficient restoration of lost data. It scans storage devices at a low level, identifies file signatures, and reconstructs deleted content while maintaining data integrity. The system integrates a user-friendly interface built using HTML, CSS, and JavaScript, ensuring accessibility for both technical and non-technical users. The backend incorporates advanced machine learning and file system analysis to distinguish recoverable data from corrupted or overwritten files, making the recovery process smarter and more reliable. Additionally, the system is compatible with various operating systems such as Windows, Linux, and macOS, offering flexibility and broad usability. This project aims to provide an effective alternative to existing recovery tools by combining automation, accuracy, and simplicity. By integrating intelligent algorithms with an intuitive interface, the Smart File Recovery System enhances the user experience while ensuring high success rates in file recovery. This solution not only helps users retrieve lost files but also contributes to data protection and digital forensics applications.