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AI-Based Attendance Management System

Project Overview

This project aims to develop an AI-based attendance management system using face recognition technology. The system will automatically detect and recognize students and mark their attendance without manual intervention.

It also provides dashboards for teachers and administrators to view attendance records and analytics.


Objectives

  • Automate attendance using face recognition
  • Reduce manual errors and effort
  • Improve accuracy and reliability
  • Provide attendance analytics and reports

Tech Stack

  • Python, OpenCV (Face Recognition)
  • Flask (Backend)
  • React.js (Frontend)
  • MySQL (Database)
  • Git & GitHub (Version Control)

Project Structure

AI-Attendance-System/ │ ├── frontend/ ├── backend/ ├── face-recognition/ ├── database/ ├── docs/ └── README.md


Modules

  • Face Recognition Module
  • Backend Module
  • Database Module
  • Frontend Module
  • System Integration & Testing

Team Members & Responsibilities

  • Member 1: Database & Analytics
  • Member 2: Face Recognition
  • Member 3: Backend Development
  • Member 4: Frontend Development
  • Member 5: System Integration & Testing

📁 Documentation

The docs folder will be used to store project reports, diagrams, and other related documents.


Note

This is a capstone project developed as part of academic coursework.

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