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# AutoAttend Documentation

Welcome to the AutoAttend documentation. AutoAttend is a production-grade facial recognition system designed for educational institutions to streamline attendance tracking.


# Documentation Sections

  • Face Recognition Settings - Detailed configuration options for the face recognition system, including models, thresholds, and tracking parameters
  • Cost Calculator - Interactive tool to estimate deployment costs based on hardware requirements, model selection, and performance settings
  • Registration System - Detailed documentation for the student registration process, API endpoints, and face embedding technical details
  • System Architecture - Comprehensive overview of the AutoAttend architecture, Kubernetes configuration, deployment/installation process and operational aspects

# About AutoAttend

AutoAttend uses advanced facial recognition technology to capture and process student attendance data automatically. The system features real-time face detection, vector-based storage, and secure authentication, all deployed on a Kubernetes infrastructure for scalability and reliability.

Developed by Soroban Labs