Intelligent Assistant for Real-Time Classroom Updates Using NLP

Abstract: Educational technology development at a fast pace has resulted in the creation of intelligent systems which improve classroom communication along with management processes. The research creates an Intelligent Assistance framework which uses NLP along with ANN for real-time classroom notification automation and important academic message delivery. The system applies powerful NLP methods to handle unstructured text data so it can pull valuable information from assignments alongside exam schedules and announcements. The model uses ANN to discover sequential word patterns in classroom dialogue which supports its ability to create accurate tailored updates. The established system addresses Learning Management Systems (LMS) restrictions through automated information recuperation procedures with updated notification delivery functionalities. The system gets trained using various educational data sources to achieve high scalability together with robustness and precision. Testing indicates the intelligent system boosts student-faculty classroom participation and diminishes response time and increases accessibility of education data.