feat: implement FaceEngine service with Haar Cascade detection, eye-based alignment, and ArcFace embedding extraction

perf(onnx): optimized threading for multi-worker environments

feat: implement initial face recognition service with API endpoints for registration, attendance, and anti-spoofing capabilities.

feat: Initialize face recognition service with FastAPI, MongoDB, Haar Cascade, ArcFace ONNX, and dynamic configuration sync.

feat: Introduce face recognition service with Haar Cascade and ArcFace ONNX, updating Dockerfile system dependencies and simplifying pip install.

chore: remove .env from tracking and update configuration

feat: Add API endpoints for face registration, attendance marking with liveness and lighting analysis, and introduce dynamic configuration.

chore: silence known opencv assertion logs and refine mediapipe init

fix: OpenCV detectMultiScale crash in FaceEngine

feat: upgrade face recognition with anti-spoofing and lighting checks

modified: app/__pycache__/main.cpython-313.pyc

Fix: Permission denied on model download and improve path detection

Initial commit - face recognition service