Build **RadicalizationIQ AI**—a $40K/year **GovTech SaaS + federated learning platform** combining **LLM-powered narrative analysis**, **real-time behavioral profiling**, and **automated subpoena compliance**. The platform would: (1) Deploy **‘NarrativeSense’**: Fine-tuned LLMs (e.g., Llama-3.2-70B) analyzing text, voice, and video for extremist narratives (e.g., ‘“Great Replacement” + “white genocide” = 98% radicalization risk’); (2) Provide a **‘Behavioral Heatmap’** showing user engagement patterns (e.g., ‘User #XYZ: 400% increase in extremist content consumption’); (3) Integrate with **‘Platform APIs’** (Discord, Twitch, Reddit) to auto-flag/quarantine high-risk content (e.g., ‘Subreddit #ABC: Quarantined—200 subpoenas pending’); (4) Offer a **‘Subpoena Compliance Engine’** that auto-generates DOJ/FBI reports (e.g., ‘DOJ Form 123: Ready for submission’); (5) Include a **‘Counter-Radicalization Playbook’** with pre-approved responses (e.g., ‘Redirect to mental health resources—approved by DOJ’).

{"sufferers":"Social platforms, governments, and users vulnerable to radicalization","brokenSystem":"Current moderation tools (e.g., keyword filters, human reviewers) fail to detect **narrative-based radicalization** (e.g., ‘vaccine microchips’). Platforms lack real-time, **federated radicalization detection** that complies with subpoena requirements.","financialCost":"USA estimates $4B/year in extremism-related costs (e.g., law enforcement, content removal). Platforms face **$10M/subpoena** in legal fees."}