I'll help you integrate a 24/7 Live Safety Monitoring System with computer vision detection into your parental monitoring application. This is a complex safety-critical system, so let me first explore your current architecture to understand how to best integrate it.
Let me explore the project structure more comprehensively:
I can see you have a Next.js frontend with a Python backend. I notice there's already a live-detection-page.tsx which suggests computer vision work. Let me check what already exists:
I can see your application already has a sophisticated mood detection system. Now I need to understand the scope better before building the 24/7 safety monitoring system. Let me ask some clarifying questions:
Should this physical threat detection system (violence, self-harm, suicide attempts) run alongside the existing mood detection (face-api.js), or replace it? Dual pipeline - run both simultaneously
Which communication channels should be integrated for emergency alerts? Twilio (SMS/Calls) - Production ready
What's your infrastructure preference for the video processing backend? Python FastAPI + Vercel functions
Thank you for those answers. This is a comprehensive safety system. Let me enter plan mode to design the architecture for a dual-pipeline system with YOLOv8 threat detection, Twilio SMS/call alerts, and Python FastAPI video processing:
Now let me read the key existing files to understand the current architecture before planning:
Let me check what other services exist in the backend:
Now let me write the comprehensive plan:
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