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: Add application configuration management with remote synchronization and an anti-spoofing utility.

feat: implement anti-spoofing utilities including liveness detection and lighting analysis, and introduce dynamic configuration management with remote sync.

feat: implement application configuration management including remote server synchronization and environment variable loading.

feat: Introduce Pydantic-based application configuration with remote server synchronization for dynamic settings updates.

feat: Add anti-spoofing and liveness detection utilities including Laplacian variance, FFT analysis, YCbCr color consistency, eye aspect ratio, and lighting analysis.

feat: Implement anti-spoofing utilities and dynamic configuration management with remote sync.

feat: implement FastAPI endpoints for face registration, attendance marking with liveness detection and lighting analysis, and face detection.

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

chore: add automatic model download for ArcFace ONNX

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

fix: optimize dlib compilation flags

fix: add build dependencies for dlib

chore: remove .env from tracking and update configuration

feat: Implement centralized application configuration with remote server synchronization and periodic updates.

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

feat: Implement face recognition API with endpoints for student registration, attendance marking with anti-spoofing and lighting analysis, and face detection.

chore: silence known opencv assertion logs and refine mediapipe init

fix: OpenCV detectMultiScale crash in FaceEngine

fix: include FACE_API_KEY in config fetch requests

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

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

Fix: Allow .env in Docker build

Add root endpoint to resolve 404s

Fix: Permission denied on model download and improve path detection

Fix: Replace obsolete libgl1-mesa-glx with libgl1

Resolve merge conflict in README.md

Initial commit - face recognition service

initial commit

everything fixed

first commit