APSIC - AI Public Safety Intake Commander

APSIC (AI Public Safety Intake Commander) is a cutting-edge AI project aimed at revolutionizing incident reporting for schools, enterprises, and municipalities. The Problem: Incident reporting is broken. Reports arrive fragmented across emails, forms, photos, and videos. Human reviewers are overloaded and inconsistent. High-risk cases get buried in noise. There's no institutional memory or audit trail. The Solution: APSIC implements Intake → Understand → Decide → Review → Deliver. The system accepts multimodal reports (text, images, audio, video) and uses Google Gemini AI to extract entities, classify severity (Low/Medium/High/Critical), detect emotional tone, and generate actionable summaries with recommended steps. Opus orchestrates six processing stages with full traceability. Rules-based routing plus AI validation ensures proper handling—immediate escalation for critical threats, human review for high severity, automated logging for routine reports. Key Innovations: Vector Memory: Qdrant surfaces top 3 similar historical incidents, enabling pattern detection. Blockchain Access: Solana SPL tokens gate usage, ensuring fair resource allocation and priority tiers. Audit Trail: Every decision and AI reasoning is logged in downloadable reports for compliance. Impact: 10x faster triage (hours to 30 seconds). Consistent classification. Never miss high-risk cases. Schools respond faster to harassment, enterprises handle workplace incidents efficiently, cities triage infrastructure failures effectively. Technology: Google Gemini, Opus, Qdrant, Solana, Next.js, Node.js/TypeScript, PostgreSQL. Future: Multi-tenant SaaS, domain-specific playbooks, DAO governance, on-chain settlement via Surge.