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Face Recognition Based Complete Attendance System with Database and Webpage using PC or Raspberry Pi

Welcome to an exciting tutorial on creating a Face Recognition Based Attendance System using the power of deep learning, the dlib library, and Raspberry Pi! In this video, we'll guide you through the process of building a robust attendance tracking system. GitHub Repository: https://github.com/Arijit1080/Face-Re... Research Paper URL: https://arxiv.org/abs/1503.03832 📋 What you'll learn: 1. How to set up your Raspberry Pi for face recognition. 2. Using the dlib library for face detection and recognition. 3. Implementing a deep learning-based face recognition algorithm. 4. Creating a database to store attendance records. 5. Developing a Flask web application for real-time attendance tracking. 6. Enrolling new faces into the system for recognition. For future updates follow us on facebook:   / sparklers2018   You can also follow me on instagram for regular updates :   / ari_the_maker   #Technology #Innovation #AI #ArtificialIntelligence #MachineLearning #DeepLearning #Coding #Programming #DataScience #ComputerScience #RaspberryPi #FaceRecognition #AttendanceSystem #Database #WebDevelopment #Flask #Python #OpenCV #FacialRecognition #Tutorial #GitHub #Education #Project #Students #Learning #Development #TechSolutions #Automation #InnovativeTech #CodeSnippets #DeepNeuralNetworks #ComputerVision #ProgrammingLanguages #DataAnalysis #InnovateWithAI #TechSkills #IoT #SmartTechnology #DigitalTransformation #CodingCommunity #WebApp #AttendanceTracking #FacialRecognitionSystem #DataManagement #StudentProjects #InnovativeSolutions #ArtificialIntelligenceProjects #TechEnthusiast #CodeWithPassion #StayCurious