The rapid progress of Artificial Intelligence (AI) has greatly impacted the growth and development of digital learning will continue to evolve as AI enables improved personalization, automation, and accessibility of education. The current research details the design process and implementation of an Artificial Intelligence (AI) based education system as a web-based platform using Python and Django. An integrated AI Natural Language Processing (NLP) model will be used to read and respond to student questions; provide human-like assistance with academic work, and data-driven context-related explanations for learning a variety of subject areas. In addition to being able to answer questions intelligently, the AI Education System will provide students with personalized learning path recommendations using data collected about the user, including performance trends and preferences. The AI-based Education System is built with an architecture that separates functions into modular components for scalability, user interaction, and the processing of data efficiently. The back-end of the AI Education System will utilize Machine Learning Algorithms for text analysis, information retrieval, and suggestion generation while providing a user-friendly web interface to any web browser. The AI Education System promotes learning via interactive study methods by giving students the ability to receive immediate academic support without constant supervision by humans. Through experimental observation, the AI education system is able to enhance overall study time, increase student access to learning resources and assist with decision making when developing an academic plan. The results of student engagement expressed satisfaction due to the individualized learning that they received.
Artificial Intelligence, Education System, Personalized, Natural language Processing
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