Develop an AI-based attendance system that uses facial recognition to mark student or employee attendance automatically. The system reduces manual errors, ensures authenticity, and provides analytics on attendance patterns.
Design database for storing student/employee details and attendance logs.
Implement secure login for administrators and users.
Integrate facial recognition using OpenCV or ML libraries.
Preprocess image data for model training and accuracy.
Apply ML algorithms for facial feature detection and recognition.
Automate attendance marking and generate daily/weekly reports.
Develop dashboards to visualize attendance trends.
Test system accuracy and response time under real-world conditions.
Document architecture, model workflow, and usage instructions.
