Build a Comprehensive Attendance System using Face Recognition and Machine Learning

This course is designed to teach you how to create a Complete Attendance System using Face Recognition technology. You will learn the principles of face recognition, image processing, and machine learning algorithms that enable the creation of an accurate and reliable attendance system.

Throughout the course, you will use Python programming language and various libraries, such as OpenCV, Numpy, Pandas, Insightface, Redis to build a comprehensive attendance system. You will start by learning the basics of face detection, feature extraction, and face recognition algorithms. Then, you will integrate these algorithms with the attendance system that you will build from scratch.

By the end of the course, you will have a complete attendance system that is capable of identifying people and marking their attendance based on their facial features. This course is suitable for beginners in programming and machine learning, and no prior knowledge of face recognition is required.

Topics covered in this course include:

• Introduction to face recognition and attendance systems

• Basic image processing techniques

• Feature extraction and dimensionality reduction

• Face detection and recognition algorithms

• Machine learning for face recognition

• Building an attendance system with face recognition

• Redis with Python

• Integrate Redis and Face Recognition system.

• Registration Form (Add new person data)

• Streamlit for webapp

• Real Time Prediction App

  • Registration Form

  • Report

By the end of this course, you will have a strong understanding of how to create a complete attendance system using face recognition technology. You will also have the skills to apply this knowledge to other computer vision applications.