International Journal of Innovative Research in Computer and Communication Engineering

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TITLE DPCOE Studion – Student Management System
ABSTRACT The rapid digital transformation in educational institutions has created a need for intelligent systems that improve efficiency, security, and transparency. This paper presents the DPCOE Studion, an AI-based Student Management System that integrates face recognition and GPS-based geofencing for accurate and automated attendance tracking. Traditional attendance systems suffer from issues such as proxy attendance, manual errors, and lack of real-time monitoring. The proposed system eliminates these limitations by using computer vision and deep learning algorithms to identify students in real time. Additionally, the system provides a centralized platform for managing student services such as document requests, fee details, and gate pass approvals. The integration of personalized dashboards for students, faculty, and administrators enhances usability and communication. Experimental results show that the system achieves high accuracy and reduces administrative workload significantly. This system contributes to the development of a smart campus by combining automation, security, and real-time analytics.
AUTHOR PROF. NAMDEO KEDARE, ABHIRAJE NIMBALKAR, YASH CHAUDHARI, SHREYAS KOLTE, KARTIK PAWAR, AKSHADA BAMDALE Assistant Professor, Dept of IT,SPPU, Dhole Patil College of Engineering, Pune, Maharashtra, India UG Student, Dept of IT, SPPU, Dhole Patil College of Engineering, Pune, Maharashtra, India
VOLUME 183
DOI DOI: 10.15680/IJIRCCE.2026.1404120
PDF pdf/120_DPCOE Studion – Student Management System.pdf
KEYWORDS
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