The system uses deep convolutional neural networks to detect microscopic inconsistencies inherent in GAN-generated imagery. By training on datasets of both authentic photographs and images generated by models like Midjourney or DALL-E, the system learns to identify “spectral fingerprints” left by generative algorithms. The project features a classification pipeline that provides a “probability of synthesis” score for any uploaded image. This is a critical tool for digital forensics, social media verification, and the prevention of deepfake-based misinformation.
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AI / ML Projects, Artificial Intelligence Projects, Computer Vision & Object Recognition, Image Processing Projects
AI-Generated Image Detection System Using GANs and Classification Models
Original price was: ₹6,999.00.₹3,999.00Current price is: ₹3,999.00. inc GSTs*
The rise of sophisticated Generative Adversarial Networks (GANs) has made it nearly impossible to distinguish between real and AI-generated images visually. This poses significant risks to digital identity and forensic evidence, necessitating automated detection systems capable of identifying subtle pixel-level synthetic artifacts

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