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— Model Notes

What the model does (1–3 paragraphs)

Problem it solves:
Input → output:
Why it's relevant for AI video detection / deepfake detection:

Paper / reference

Paper title:
Authors / year:
Link:
Key ideas (bullet points):
Architecture summary (high-level):

What I learned (bullet points)

Important details:
Gotchas / assumptions:
Strengths:
Weaknesses:

How it should be used in our project

Expected preprocessing:
Expected input format:
Metrics typically reported:

Screenshots / diagrams (optional)

Put images in ./assets and reference them like:

Open questions

Questions to ask in weekly meeting:
Things to verify: