README.md

metadata

title: AI Image Checker MVP
emoji: 🖼️
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.32.0
app_file: app.py
pinned: false

AI Image Checker (MVP)

What it does

• Checks provenance via one-click link to Adobe Verify (upload the same image there to see Content Credentials / C2PA).
• Runs EXIF checks (missing/odd tags).
• Runs ELA (Error-Level Analysis) and a lightweight ViT classifier.
• Combines model + heuristics into a simple, explainable verdict.

Deploy in 3 steps

1. Create a Hugging Face account → New Space → Type: Streamlit.
2. Upload these files: app.py, requirements.txt, README.md.
3. Hit Deploy. That’s it.

Use

• Upload an image.
• Click Open Adobe Verify and upload the same image there to check for Content Credentials (the gold-standard when present).
• Review EXIF, ELA, and AI confidence. Adjust the threshold in the sidebar.

Notes

• Results are probabilistic; newer generators may fool detectors. Provenance (C2PA) > detection where available.
• This is a portfolio demo; not a certified forensic tool.