# ARGUS-Lens

- **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:** [Sharon Sweety](https://cerebralvalley.ai/u/sharon_sweety)
- **GitHub:** https://github.com/jsharonsweety28-ai/ARGUS-Lens
- **Demo video:** https://youtu.be/xazt9Kue1Vg
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4698

ARGUS LENS
Catch the fake. Stop the harm. Before it's shared.

One manipulated image can destroy a reputation. One threatening video can intimidate thousands. One exposed address can compromise someone's safety. Once shared, the damage is difficult to reverse.

1. THE PROBLEM
Social media moderation often removes harmful content after publication. But manipulated media, harassment, threats, non-consensual imagery and exposed personal information can spread before victims report them.

Examples:
- An AI-generated disaster image tricks someone into donating to a fake appeal.
- An ordinary photograph is manipulated into non-consensual sexual imagery.
- A parcel photograph accidentally exposes someone's home address and phone number.

The missing step is prevention.

2. THE EXISTING GAP
Meta already uses AI labels, proactive detection, safety nudges, nudity protection and reporting systems. ARGUS Lens complements these safeguards with a unified, multimodal pre-publication safety checkpoint that examines visual content, video and audio.

3. OUR SOLUTION
ARGUS Lens is an AI-powered system that detects, explains and helps prevent harmful content before sharing.

DETECT
- Muse Wonder analyses images for signs of AI generation or manipulation.
- SAM 3.1 identifies and outlines suspicious visual regions.
- Multimodal analysis examines images, video frames, on-screen text and spoken audio for threats, harassment and privacy exposure.

EXPLAIN
Highlights evidence and explains risks, such as exposed addresses, spoken threats or possible visual manipulation.

PREVENT
Users scan content before publishing, understand detected risks, make corrections and rescan.

PROTECT
- Automatically blur exposed personal information.
- Track sensitive regions across video frames.
- Generate safer copies for user review.

EXTEND
A browser extension enables content inspection on Instagram, Reddit and YouTube.

AI-generated content is not automatically considered harmful. Lens aims to preserve harmless expression while reducing risk.

4. PROTOTYPE VALIDATION
Controlled tests produced:
- AI-generated images detected: 10/11
- Genuine images incorrectly flagged: 0/9
- Audio-only threat and phone-number scenarios detected: 2/2 runs

These are preliminary prototype results, not production-scale accuracy claims.

5. WHY META?
ARGUS Lens complements existing moderation infrastructure by shifting from reactive enforcement to preventive protection. It gives users greater control and creates an opportunity to stop harmful sharing before it spreads.

6. TRY IT LIVE
ARGUS LENS: Detect. Explain. Prevent. Protect.

Prototype: https://arguslens-ten.vercel.app

Built using Muse Wonder, SAM 3.1 and Muse Image.

The safest post is not always the one removed after causing harm. Sometimes, it is the one made safe before anyone sees it.

## More from Meta Global AI Developer Hackathon

- [OpenMainty](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4695)
- [Anubis](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4696)
- [Contextlens](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4697)
- [wonducoffee](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4699)
- [HardRead](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4700)
- [Reelay](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4701)

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