Digital Image Forensics System for Tampering Detection

This project focuses on developing a digital image forensics system that detects image manipulation. The system helps investigators verify image authenticity in legal and investigative contexts.

Study digital image formats and metadata structures.

Research common image tampering techniques.

Design algorithms to analyze metadata inconsistencies.

Implement basic image analysis techniques for forgery detection.

Detect signs of cropping, cloning, or alteration.

Generate authenticity reports for analyzed images.

Develop a simple interface for image uploads.

Test with original and manipulated images.

Evaluate detection accuracy.

Document findings and future scope.