Design and Implementation of an AI-Powered Web Application for Personalized Education Pathways

The swift progress of intelligence (AI) has transformed the field of education by offering personalized learning experiences customized to each students requirements and preferences. This document introduces a web application driven by AI that delivers tailored journeys aligned with students' learning approaches, developmental progress and professional aspirations. The platform utilizes machine learning techniques and data analysis to evaluate students' strengths, weaknesses and inclinations providing real time suggestions, for courses, educational materials and evaluations. The online platform combines a to use interface, with customized learning technologies that use natural language processing (NLP) to provide teaching and immediate feedback, to users. A suggestion system guarantees tailored lesson plans based on needs while predictive analysis spots students who may need support and proposes ways to help them. The system also offers progress monitoring and performance insights so that teachers and learners can make choices for enhancements. The new system is created using, up to date web technologies such as a backend utilizing Python and Django alongside a frontend incorporating React and the integration of AI models built with TensorFlow and Scikit Learn. The testing of the software showcases its ability to improve learning results and foster engagement among users. This research emphasizes how AI powered educational systems can help close disparities support learning and enhance academic achievement setting the stage for forthcoming advancements, in online education.