Industrial Engineering Journal ISSN: 0970-2555 Volume : 53, Issue 4, No. 7, April : 2024 UGC CARE Group-1, 27 ARTIFICIAL INTELLIGENCE ENHANCED PERSONALIZED ONLINE LEARNING PLATFORM Prof. Vishal Shinde, Assistant Professor, Dept. of Computer Engineering, Trinity College of Engineering and Research, Savitribai Phule Pune University. Dr Sujeet More, Associate Professor, Dept. Of Computer Engineering, Trinity College of Engineering and Research, Savitribai Phule Pune University. Faizan Kalkoti, Sahil Apture, Mohammed Ahsan, Ayan Sardar, Dept. Of Computer Engineering, Trinity College of Engineering and Research, Savitribai Phule Pune University. Abstract Personalized e-learning systems powered by AI represent a transformative approach to education. These systems aim to revolutionize traditional learning by tailoring the experience for individual students. By leveraging AI, data analytics, and natural language processing, these systems dynamically adjust learning paths, conduct assessments, and provide immediate feed-back. This reshapes the educational paradigm. Personalized e-learning systems create interactive and collaborative learning environments. This promotes engagement between peers and sharing of knowledge. By encouraging natural language interactions and social learning, these systems enhance the effectiveness of instruction and deepen understanding. The research emphasizes the need to customize learning to cater to diverse student needs, considering their skills, speed, and learning styles. Through exploring intelligent tutoring systems, adaptive learning methodologies, and self-regulated learning principles, the paper elucidates the complexities of personalized education. These AI-powered e-learning systems hold the potential to revolutionize the way we learn and educate ourselves. Keywords: Adaptive Deadline, Self-Regulated Learning, Deep Learning, Machine Learning. I. Introduction In the fast-changing world of education, technology has opened up new possibilities for innovation and change. E-learning platforms have become a crucial part of modern education. The COVID-19 pandemic has further increased the demand for flexible, accessible, and personalized learning. To meet this growing demand, educational institutions and tech companies are increasingly using Artificial Intelligence (AI) to transform e-learning. AI holds great promise in the field of online learning. It can enhance teaching efficiency, personalize learning experiences, and improve student success. By using machine learning, natural language processing, and data analysis, AI-powered online learning systems can adapt to individual student needs. They can provide real-time feedback and deliver customized content. This adaptability and personalization are crucial for addressing the varied learning styles, preferences, and abilities of students. This helps increase engagement and improves knowledge retention. Traditional e-learning has its limitations, mainly due to the static and uniform instructional delivery. Conventional systems tend to offer a one-size-fits-all approach, with prepackaged content and standardized assessments that do not cater to the diverse learning needs and preferences of students. When learning environments are too strict, it can lead students to feel bored, annoyed, and ultimately, less successful in their studies, as they have difficulty connecting with the information or seeing its significance. Additionally, traditional online learning platforms often do not have ways to give immediate feedback or adjust to individual needs, which makes it harder for them to offer help. When designing personalized e-learning systems, we aim to overcome the limitations of traditional models by using AI to develop dynamic, adaptive, and student-centered environments. By utilizing machine learning and natural language processing, our goal is to customize learning experiences for each student based on their individual characteristics like learning style, pace, and skill level. Using personalized assessments, progress tracking, and real-time feedback, we aim to offer specialized instruction and assistance, creating a more stimulating, efficient, and inclusive learning environment