Published on: April 2026
AI-DRIVEN DIGITAL IMAGE FORENSICS SYSTEM
Atharva Dhanshetti Sugat Katke Aditya Khose
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Abstract
This paper presents a study on AI-generated image detection using Artificial Intelligence. The main objective of this research is to accurately identify and classify digital images as AI-Generated or Human- Captured. In this work, deep learning techniques are applied through the SightEngine genai cloud API to analyze uploaded images for GAN fingerprints, diffusion artifacts, and texture inconsistencies. The results obtained show that the AI-based system can achieve reliable detection with a tiered confidence scoring mechanism. The study helps in combating misinformation and assisting professionals in verifying image authenticity. Finally, it is concluded that AI can play a significant role in reliable and efficient digital image forensics
How to Cite this Paper
Dhanshetti, A., Katke, S. & Khose, A. (2026). AI-Driven Digital Image Forensics System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.100
Dhanshetti, Atharva, et al.. "AI-Driven Digital Image Forensics System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.100.
Dhanshetti, Atharva,Sugat Katke, and Aditya Khose. "AI-Driven Digital Image Forensics System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.100.
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