# beyond

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Nurzhan Zhumabekov](https://cerebralvalley.ai/u/Nurzhan_Zhuma)
- **GitHub:** https://github.com/Nurzhan-Zhumabekov/META
- **Demo video:** https://nurzhan-zhumabekov.github.io/META/
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3628

MirrorCheck — AI-Assisted Impersonation Review

MirrorCheck turns a suspected copied social profile into evidence a human can review. Creators and ordinary users can report an apparent account copy from an Instagram-style web interface, attach original and suspected-profile screenshots, and follow the decision through to a visible profile warning.

PaddleOCR extracts editable account fields; imagededup finds reused photo regions. A local OCR + Microsoft Presidio pipeline masks detected email and phone regions before any screenshot reaches Meta. Failed redaction blocks external analysis. Meta Muse Spark 1.3 returns structured visual similarities, differences, limitations and a constrained recommendation. Separate local models show profile-pattern and pair text-reuse signals. A standard avatar is excluded from the profile model's features.

AI cannot add a warning. A moderator must inspect the processed evidence and record an explained decision. Confirmed reports display a warning; dismissed reports do not. Version 0.13 adds audit history, report-scoped appeals, SQLite persistence and isolated visitor sandboxes.

Built with React, TypeScript, Vite and FastAPI, with authenticated local workers and server-side Meta credentials. The public demo runs the real API and local ML in a US West Codespace. Each visitor gets a fictional sandbox; only the web port is public. A built-in example pair supports the full review without uploading private files. Temporary live demo (Codespace must be running): https://congenial-garbanzo-4j5v4xwwx9r3jw9v-8090.app.github.dev/demo-guide.html

Evaluation separates copy detection from spam patterns. Controlled external-text copy recall improved from 62/100 to 92/100; a difficult Copydays photo-region test improved from 1/50 to 18/50. These are component evaluations, not real Instagram impersonation accuracy. Pair-model training is synthetic; no screenshot or score establishes ownership.

This is an unofficial feature prototype, not an integration with the real Instagram service. The recorded three-minute English demo uses fictional accounts, edited authentic browser captures and synthesized narration. Codespaces is temporary attended hosting; the independently hosted video remains available when the live app sleeps. Source, model artifacts, evaluation methods and third-party notices are public. Future work includes consented account-level validation and verified ownership evidence. Evaluation sources and limitations are documented in the repository. No raw external profiles are redistributed.

## More from Meta Global AI Developer Hackathon

- [SettleNotes](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3625)
- [nicwonderland](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3626)
- [Hubog](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3627)
- [AroundYou](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3629)
- [Manifest0 AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3630)
- [Omata](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3631)

---

Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3628. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt