In today’s world of abundant online educational resources, there is need for selecting relevant and appropriate content which helps in personalized learning. This work focuses on creating a structural and personalized learning experience to the users by suggesting videos, providing summarizations of content, personalized slide generation and a content driven quiz with analysis report. By using advance ranking methods of videos the system identifies more relevant and appropriate videos based on the user specifications rather than only relaying on the metadata. Summarization helps to get the essence of the video in a comprehensive manner, Slide generations according to the users personalization reducing the manual efforts and quiz with analysis report makes it a single and efficient system for multiple learners with personalization. The system was tested using various metrics. It delivers complex concepts in a simple and structured format which makes the learners receive quality content in a personalized manner without any extensive search. The results manifest the significance of system when compared to traditional content. This is a step towards making educational resources more organized and accessible to learners across different domains.