ClassSphere: An Interdisciplinary College Ecosystem Platform
Ningaraj P Totagi1, Suhas Peri1, Anirudh R Sharma1, Ashishkumar G Uppin1, Karthik S1, Lingaraj1, Prof.P Narashimaraja*
*Assistant Professor, Department of Electronics and Communication Engineering Management, R V College of Engineering
1BE students, Department of Computer Science and Engineering, Department of Electronics and Communication Engineering, Department of Mechanical Engineering ,R V College of Engineering
Abstract-- In the rapidly advancing field of educational technology, academic institutions face persistent challenges in streamlining attendance tracking, automating assessments, and maintaining academic integrity due to manual processes and fragmented tools. This paper presents a modular college management system that integrates a portable ESP32 based biometric attendance device and intelligent software modules- including an AI-powered question paper generator, interactive quizzes, and a computer vision-based online proctoring system- within a secure, scalable microservices architecture built on Django, Flask, Node.js, and React. Real-world deployments demonstrated the system’s effectiveness, with the biometric device achieving over 98% fingerprint recognition accuracy, the AI question paper generator producing 95% faculty- accepted questions, and the online proctoring module detecting 97% of simulated suspicious behaviors. User satisfaction was high, with 92% of administrators, 89% of faculty, and 94% of students rating the system as easy to use and effective, as summarized in Table 1.1. These results confirm that the platform significantly reduces administrative workload, improves data accuracy, and provides a robust, scalable solution for digitally enabled institutions.
Keywords: Attendance tracking, biometric authentication, embedded hardware, ESP32, fingerprint sensor, question paper generation, artificial intelligence, online proctoring, real-time feedback, academic integrity, educational system.
