Preview screenshot 1 of Smart Attendance System using Face Recognition
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AI / MLIntermediate

Smart Attendance System using Face Recognition

4.9(47 reviews)

About This Project

This project implements a real-time face recognition-based attendance system for colleges and schools. Using OpenCV's deep learning face detector and a custom-trained recognition model, the system identifies students from a live webcam feed and marks attendance automatically in a MySQL database. The Flask web dashboard provides teachers with live attendance views, export to CSV/Excel, and historical reports. Student faces are enrolled via a simple admin interface.

Key Features

  • Real-time face detection with 98.5% accuracy using OpenCV DNN
  • Automated attendance marking with timestamp and date
  • Flask web dashboard with live attendance view
  • Student enrollment portal (add/remove students)
  • Export attendance to CSV and Excel
  • Email alert for low attendance students
  • Works with standard USB webcam or IP camera
  • Multi-classroom support with separate databases

Tech Stack

Python 3.10OpenCV 4.8Flask 3.0MySQL 8.0NumPyPandas
₹1,299₹2,499
48% OFF - Limited Time
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What's Included

Complete Source Code

Python + Flask + HTML/CSS/JS

IEEE Project Report

45-page Word + PDF

PPT Presentation

20 slides, editable

Demo Video

8-minute walkthrough

Installation Guide

Windows + Linux setup

7-Day Support

WhatsApp + Email