Your Prince Is Not Real: Catching Scams While They're Still Happening

说明与用途

YPINR 通过先用 ElevenLabs 进行 AI 语音初筛，再用 Grok 进行深度分类，实现对诈骗电话和短信的实时检测，并将诈骗模式存入 Postgres，避免泄露个人数据。

问题

Scammers use cloned voices, phone calls, and DMs to trick victims before they can be detected by existing tools, which only flag bad URLs after a click.

结果

YPINR achieved real‑time scam detection across calls and DMs, reducing post‑incident losses and building a living encyclopedia of scam methods. The system was deployed live during a hackathon, earning a Top 10 finalist spot and the Best ElevenLabs Award.

工作流

• 1. Capture first 30 seconds of a phone call with Outpost.
• 2. Send clip to ElevenLabs for AI‑voice scoring.
• 3. If score exceeds threshold, pass clip to Grok Voice Transcribe for full transcription.
• 4. Classify transcript with Grok 4 to determine scam type and confidence.
• 5. Store confirmed scam pattern in Postgres catalog (no personal data).
• 6. Optionally send plain‑text SMS warning via Textbelt.
• 7. In DMs, Sherpa Chrome extension highlights risky sentences on‑device.
• 8. Users can report new scam methods via the public hub.
• 9. Hub displays adaptive questionnaire and searchable scam catalog.

证据

YPINR is built around that gap, split into three surfaces sharing one "brain"

来源

We used ElevenLabs' speech classification as the first-pass screen on every call

来源

Our repo has a dedicated cursoragent contributor account that shipped real commits alongside the five of us

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