Build **RadicalizationIQ AI**—a $50K/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’** auto-generating 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’).

{"sufferingParties":["Government agencies","Social platforms","Law enforcement","Civil society"],"brokenSystem":"Platforms lack scalable tools to detect/mitigate radicalization, subpoena compliance is manual and slow, and cross-platform radicalization trends are opaque. Governments rely on reactive enforcement.","financialOperationalCost":"Billions in potential fines (e.g., DSA non-compliance), legal fees for subpoena responses, and reputational damage from radicalization incidents (e.g., Christchurch, Capitol riots)."}