GEOFENCING

This paper presents an automated attendance management system based on artificial intelligence (AI), combining facial recognition with location verification. The system leverages computer vision algorithms and machine learning models to accurately identify individuals through live camera feeds, while concurrently authenticating their physical presence via GPS or network-based location data. Upon initial registration, users’ facial images and corresponding location information are securely stored. For each subsequent attendance event, real-time facial recognition and location validation are performed to ensure genuine presence and prevent proxy attendance. This dual-factor authentication enhances the reliability, accuracy, and security of attendance records, reducing fraudulent practices and simplifying administrative workflows. The AI-driven approach supports robust recognition under varying environmental conditions, with continuous learning capabilities improving performance over time. Integration with cloud platforms enables centralized data storage, real-time reporting, and advanced analytics for informed decision-making. This system represents a significant advancement over traditional manual methods, offering improved scalability, user experience, and data privacy in educational and organizational contexts.