• Kushal Sharma
• Vishal Jain
• Aditya Kumar Singh
• Jahanvi Kumawat

Accurate attendance tracking is essential for organizational efficiency, resource management, and workforce accountability. This research presents a geolocation-based attendance tracking system designed to accommodate remote employees who work beyond fixed office locations, such as sales representatives, service technicians, consultants, delivery personnel, and field researchers. Traditional attendance systems, including biometric scanners and manual punch ins, often fail to address the needs of such employees, leading to inefficiencies and discrepancies. To address these challenges, this system integrates Google Maps API, allowing employees to log attendance by automatically recording their punch-in and punch-out times based on real-time location data. The system employs geotagging to define work boundaries by assigning pinned locations to company headquarters and branch offices. Employees within a predefined radius can log attendance without manual intervention. Real-time calculations ensure accurate attendance tracking by verifying distances covered from predefined locations. By combining GPS-based location tracking with timestamping, this system enhances accuracy and eliminates the need for physical presence reporting. The system generates structured attendance records, improving workforce management and reducing administrative overheads. Keywords: Geolocation, Employee Attendance, Geofencing, Google Maps API, Remote Work, Automation, Workforce Management.

Smart Classroom, Classroom Management, Facial Recognition, Educational Chatbot, Dashboard Analytics, Real-Time Alerts, Cloud-Based Education, Student Engagement.

"Geo Attend: An AI-Powered Geolocation-Based Smart Attendance System for Remote Workforce Management and Real-Time Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.216-222, June-2025, Available :http://www.jetir.org/papers/JETIRGW06034.pdf

"Geo Attend: An AI-Powered Geolocation-Based Smart Attendance System for Remote Workforce Management and Real-Time Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp216-222, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06034.pdf