A Generative AI-Powered Intelligent Educational Support and Network Monitoring System
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A Generative AI-Powered Intelligent Educational Support and Network Monitoring System
Dr. K. Satyam1, Mucheli Ojaswini2
1Associate Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AndhraPradesh, India.
2 Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AndhraPradesh, India.
Abstract:By facilitating intelligent automation, individualized support, and effective system administration, generative artificial intelligence (Gen AI) has profoundly changed contemporary digital platforms. Smart technologies that can support academic work while guaranteeing dependable network performance and system monitoring are becoming more and more in demand in the education industry. Conventional educational platforms frequently lack integrated solutions that include network optimization, performance analysis, and intelligent learning support. This study suggests an intelligent web-based platform that uses generative AI technologies to combine network monitoring and instructional support. A course recommendation bot, question paper generator, event notification helper, network
monitoring module, and performance analyzer are just a few of the AI-powered modules included in the system. Together, these elements offer real-time system monitoring and automatic academic help inside a single framework. The Django web framework is used in the development of the platform, which has an interactive web interface and a database for tracking system data and user interactions. By providing intelligent replies, automated academic material creation, and effective administrative support, the suggested solution improves user experience. Additionally, administrators may monitor system performance and spot possible platform problems using the included network monitoring module. The solution simultaneously optimizes system performance and operational efficiency while increasing accessibility to instructional resources, according to experimental data. The framework combines network optimization approaches with the capabilities of generative AI to offer a scalable and intelligent solution for contemporary educational environments.
Keywords:Generative Artificial Intelligence, Educational Chatbots, Intelligent Tutoring Systems, Network Optimization, AI-based Automation, Django Web Application, Smart Education Platforms
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