Recent advancements in artificial intelligence (AI) have given rise to novel applications to enhance e-learning platforms and thereby transform online learning. In this paper integration of the intelligent Chabot in an e-learning platform is designed and implemented. This platform utilizes natural language processing (NLP), machine learning (ML), and personalized recommendation systems to improve learning outcomes. The research explains the methodologies employed, the technological architecture and the outcomes achieved from users interactions. The findings reveal noteworthy advancements in terms of user engagement, adaptability, and satisfaction.