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AI Face Recognition Attendance System

AI Face Recognition Attendance System

An AI Face Recognition Attendance System is a smart automation project that uses artificial intelligence and computer vision to identify individuals through facial recognition and automatically mark their attendance. The system captures real-time images using a camera, compares them with a stored database, and records attendance accurately without manual intervention. It is ideal for schools, colleges, offices, and organizations seeking a secure, fast, and contactless attendance solution.

4999 ₹

7000 ₹
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Expiry period 4 Months
Made in English
Last updated at Sun Jun 2026
Level
Beginner
Total lectures 0
Total quizzes 0
Total duration 0 Hours
Total enrolment 0
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Short description An AI Face Recognition Attendance System is a smart automation project that uses artificial intelligence and computer vision to identify individuals through facial recognition and automatically mark their attendance. The system captures real-time images using a camera, compares them with a stored database, and records attendance accurately without manual intervention. It is ideal for schools, colleges, offices, and organizations seeking a secure, fast, and contactless attendance solution.
Outcomes
  • Understand the fundamentals of Artificial Intelligence, Machine Learning, and Computer Vision.
  • Develop a complete AI-based Face Recognition Attendance System from scratch.
  • Implement real-time face detection and face recognition using OpenCV and Python.
  • Create and manage a facial database for user enrollment and identification.
  • Automate attendance marking with date and time tracking.
  • Store and manage attendance records using databases such as SQLite or MySQL.
  • Generate attendance reports and export data to Excel or CSV formats
  • Reduce manual attendance errors and prevent proxy attendance.
  • Integrate AI-powered recognition systems into real-world applications.
  • Gain hands-on experience in building industry-relevant AI projects.
  • Improve problem-solving, programming, and project development skills.
  • Build a portfolio-ready project for academic, training, or professional use.
Requirements
  • Python 3.x
  • OpenCV Library
  • NumPy Library
  • Face Recognition Library
  • Pandas Library
  • Visual Studio Code (VS Code) or PyCharm
  • SQLite/MySQL Database
  • Windows, Linux, or macOS Operating System