edusync / .env.example
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feat: implement initial face recognition service with API endpoints for registration, attendance, and anti-spoofing capabilities.
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# ==========================================
# FACE RECOGNITION SERVICE CONFIGURATION
# ==========================================
# SECURITY CRITICAL: Must be at least 32 characters long.
# All requests to this service MUST include the 'X-API-Key' header with this value.
# In production, if this value is empty, the server will CRASH for safety.
FACE_API_KEY=rp4MWc9xZpHw0WC2pmv-vz9nVJiBnds75mhCzeQKskI
# Database Connection (MongoDB Cluster or Local)
MONGODB_URL=mongodb+srv://user:pass@cluster.nbqpit4.mongodb.net/?retryWrites=true&w=majority
# Core Server URL (for configuration sync)
CORE_SERVER_URL=https://edusyncserver.vercel.app
# Path to the InsightFace pre-trained models
MODEL_PATH=app/models/w600k_mbf.onnx
# Deployment Port
PORT=8000
NODE_ENV=development # Change to 'production' for strict security checks