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ANTIC

AI fraud detection & SMS classification system with real-time alerts.

SecurityReal-time classificationBackend systems
Security / AI system
Screenshots
Fraud detection overview
Fraud detection overview
Alerts and classifications
Alerts and classifications
Admin and auth flows
Admin and auth flows
What it solves
Users and organizations needed a way to detect fraudulent messages and classify SMS content in real-time, with secure access and actionable alerts.
Outcome / impact
Shipped backend services for real-time fraud detection workflows with secure access and alert-driven responses.
My role
  • Backend APIs
  • System integration
  • Authentication design
Key technical challenge
Integrating ML inference into a secure, low-latency API pipeline while keeping authentication and alerting reliable.
Highlights
  • Secure RBAC + 2FA flows for admin access
  • ML inference integration for classification and alerting
  • Low-latency API pipeline for real-time detection workflows
Architecture (high level)
  • Client-server architecture: React admin UI + Laravel core API
  • Python (Flask) microservice for ML inference integrated via secure APIs
  • Event/queue-ready alerting pipeline (email/notifications)
Technologies used
Python (Flask)LaravelPHPReactAI model integrationAuthAPIs