AI Based Personalized Learning for Students and Faculty

Abstract: This paper introduces an AI-based personalized learning platform that aims to enhance student performance and support better teaching decisions using data-driven techniques. The system is developed as an Android application using Java/XML and is connected with Firebase Real time Database for efficient data handling. It uses Generative AI to customize study content, tests, and revision plans based on each student's learning progress. The platform continuously monitors quiz results and user activity to provide accurate recommendations and identify areas where students need improvement. Faculty members are supported with dashboards that offer insights into student performance, learning gaps, and potential academic risks. In addition, a 24×7 AI chat bot is available to solve student queries instantly, improving the overall learning experience. Interactive dashboards also help visualize progress in a simple way. Overall, the system provides a smart, scalable, and efficient solution for modern digital education by combining personalization, analytics, and AI technologies.

Keywords: Artificial Intelligence, Personalized Learning, Adaptive Education, Generative AI Chatbot, Firebase Real time Database, AI Recommendation System, Student Analytics, Android E Learning Platform