Vigilance AI: A Transformer-Based Framework for Detecting AI-Generated Images
The rapid advancement of generative artificial intelligence has made it possible to generate synthetic images that look really real, and it's getting harder to tell the difference with normal photographs. Because of that there are worries about misinformation, digital forgery, copyright infringement, and also how easily altered visual content moves around online. In order to meet this problem, this paper introduces Vigilance AI, which is a transformer based web app created to spot AI generated images with strong reliability. The whole system combines a pre-trained Hugging Face image classification model with a FastAPI backend.
Authors
- K. Sundara Velrani
- Pusarla Hasini
- Roopini J
- Manisha S
- S. P. Shivani
- Snowlin Jenita M
Institutions
- Sathyabama Institute of Science and Technology (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-02
- DOI
- https://doi.org/10.5281/zenodo.23883655
- Primary Topic
- Digital Media Forensic Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00