MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641052438 A) filed by Saveetha Institute Of Medical And Technical Sciences on April 24, 2026, for Classnest- Smart Resource Management Platform.
Inventors include I Tahir Khan; Dr, A. Rama; and Dr Ramya Mohan.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: CLASSNEST is a comprehensive smart campus management platform designed to modernize educational institutions by integrating academic, administrative, and resource management into a single, user-friendly mobile-first application. It aims to streamline campus operations, improve communication, and enhance student outcomes through real-time data access, personalized learning tools, and efficient resource allocation. The platform provides role-specific dashboards for students, faculty, and administrators, each tailored to meet the unique needs of their respective roles. Students benefit from personalized academic support through an integrated Al assistant that provides instant answers to study^related queries, summarizes notes, generates quizzes, and recommends personalized study plans based on individual performance metrics. Faculty can manage courses, mark attendance, upload study materials, and monitor student engagement through intuitive dashboards. Administrators gain centralized control over resource bookings, user management, timetable scheduling, and emergency notifications, reducing operational overhead and improving overall campus efficiency. One of the key features of CLASSNEST is its smart resource management system, which allows faculty to request classroom essentials like projectors, Wi-Fi, AC, and seating arrangements with real-time status updates. This reduces the risk of last-minute disruptions and ensures efficient use of campus resources. The platform also includes real-time attendance tracking, providing accurate, instant records that can be integrated with broader academic databases. Additionally, CLASSNEST is designed for scalability, supporting single-campus institutions initially but capable of expanding to multi-campus networks. Future iterations may incorporate advanced technologies such as biometric attendance, loT-based smart classrooms, and Al-driven predictive analytics for early intervention in student performance issues.
Disclaimer: Curated by HT Syndication.
