Build 'SoundShield AI'—a $15K/year SaaS + hardware platform that combines edge AI and blockchain to detect AI-generated music impersonations. The platform would: 1) Deploy Raspberry Pi-based 'SoundNodes' with edge AI to analyze audio fingerprints in real-time (e.g., 'Track #XYZ: 92% AI-generated—flag for review'); 2) Provide a 'Royalties Dashboard' showing unpaid earnings (e.g., '$3.2K/month lost to AI impersonations'); 3) Integrate with TIDAL/Spotify APIs to auto-dispute claims and recover royalties; 4) Offer a 'Brand Protection Score' showing risk of impersonation (e.g., 'High-risk artist: Taylor Swift—monitor weekly').

Independent musicians and small labels lack tools to detect AI-generated impersonations of their work, leading to lost royalties and brand dilution. Current solutions (e.g., Audible Magic) are prohibitively expensive ($50K+/year) and focus on copyright infringement, not AI impersonation. The financial cost includes unpaid royalties (e.g., $5K/month for mid-tier artists) and legal fees to dispute claims. Mid-market platforms (e.g., Bandcamp, SoundCloud) cannot afford enterprise-grade detection tools like Warner Bros.'s AI-driven content analysis.