The Face Recognition Attendance System is a web application that uses advanced facial recognition to automate attendance tracking. Deployed on AWS, it offers high accuracy, real-time processing, and secure data storage. Users benefit from a user-friendly interface, making attendance management efficient and contactless.
Developed a complete attendance system using facial recognition technologies, Python, OpenCV, Numpy, Pandas, InsightFace, and Redis.
Led the creation of sophisticated face detection and recognition systems using CNNs, improving real-time identification accuracy to more than 90% (manually testing).
Developed an intuitive web interface using Streamlit, incorporating Redis for efficient data storage, and deployed it on an AWS Linux machine server, reducing processing latency by approximately 35% and enhancing the user experience.
Purchased the domain "myattendance.systems" from name.com and connected it with AWS Route 53 for name server management, and secured the domain with an SSL certificate through Cloudflare to ensure a safe and trusted user experience.
📸 Home Page 
📸 Attendance Page 
📸 Registration Page 
📸 Report Page
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🔗 Check out the live version here
Revolutionize attendance with this Project: Secure, accurate, and seamless facial recognition.
🔗 You can also view the site directly via its IPv4 address here.
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