A campus identity and movement intelligence platform. Unify RFID, WiFi, and access control data into a single entity timeline — and surface anomalies in seconds, not hours.
Comprehensive entity resolution and security monitoring powered by cross-system data fusion and configurable rule-based detection
Multi-modal fusion with confidence scoring for accurate entity identification and linking across campus systems.
Neo4j-powered relationship mapping for entity linking, gap detection, and pattern recognition.
Rule-based anomaly detection with configurable thresholds — curfew violations, impossible travel, unauthorized zone access. Explainable and auditable by design.
Real-time anomaly detection and behavioral monitoring using a configurable rule engine and pattern analysis.
Graph-based timeline visualization for tracking entity movements and interactions over time.
Secure authentication and authorization with Prisma ORM for user data management.
Association events
Entry/exit records
Facial recognition events
Entity resolution →
Behavioral fingerprint →
Anomaly scoring
Mental health signals
Ragging detection
Caste discrimination
POSH intelligence
Protest early warning
FOUNDER & CEO
Architect of the behavioral intelligence layer. Built the entity resolution and anomaly detection core.
MERN · Pytorch · FastAPI · Communication
CO-FOUNDER & CTO
Owns production infrastructure, system reliability, and real-time data pipeline architecture.
AWS · Docker · Kubernetes · Jenkins
CO-FOUNDER & VP PRODUCT
Owns the campus-facing product surface, Registrar dashboards, and welfare module UX.
FastAPI · NextJS · Redis
Interested in implementing Fazri Analyzer for your campus? Contact us for a demo.