Image Forgery Detection System

The Challenge

With the rise of AI-generated and manipulated images, Pakistan's national cyber security center needed robust tools to detect image tampering for forensic investigations.

Approach & Solution

Trained deep learning models on large datasets of authentic and manipulated images, using techniques like error level analysis and noise pattern detection. Built automated pipelines and integrated into the center's forensic toolkit.

Results & Impact

• Achieved 95% accuracy on image forgery detection benchmarks
• Reduced model iteration cycles by 40% through automated pipelines
• Integrated into NCCS digital forensics workflow
• Scalable ML backend APIs supporting security applications