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| What it does | Why it matters | |---------------|----------------| | in the filename or embedded metadata. | Users can instantly see that the video has been vetted by the source (e.g., a trusted uploader, a brand, or a moderation team). | | Pull full technical metadata (codec, bitrate, duration, GPS, creation‑time, etc.). | Helps editors, archivists, or moderators quickly assess quality and provenance without opening the file. | | Generate a cryptographic hash (SHA‑256) and compare it to a whitelist of known‑good hashes. | Guarantees the file hasn’t been tampered with after the original upload. | | Run a lightweight AI‑based authenticity scan (face‑matching, deep‑fake detection, watermark recognition). | Gives an extra safety net for user‑generated content that may be mis‑labelled as “verified”. | | Show a concise UI widget with a colour‑coded badge (green = verified, amber = caution, red = failed). | Instantly communicates trust level to anyone browsing the library. | | One‑click actions – download, copy‑link, report, request re‑verification. | Streamlines workflow for content creators, moderators, or legal teams. | If you're trying to find a video, I

| # | Requirement | Target | |---|-------------|--------| | | Scalability | Horizontal scaling – stateless workers; queue via RabbitMQ/Kafka. | | NFR‑2 | Reliability | 99.9 % uptime of the verification micro‑service. | | NFR‑3 | Data Privacy | No personal data is stored beyond the hash and technical metadata; purge after 30 days unless flagged. | | NFR‑4 | Compliance | Meets GDPR (right to be forgotten) and DMCA safe‑harbor requirements. | | NFR‑5 | Observability | Export Prometheus metrics: verify_duration_seconds , hash_match_total , auth_score_bucket . | | NFR‑6 | Extensibility | Plug‑in architecture for additional AI models (e.g., audio deep‑fake detection). | | | Pull full technical metadata (codec, bitrate,

Given these components, the analysis could be as follows: