This study explores the impact of an AI-driven personalized learning platform, Campus+, on the academic achievement and learning experience of students at Mohammed VI Polytechnic University. The platform, designed for mobile devices, allows instructors to upload course materials and enables students to interact with an AI mentor through a chat interface integrated into their course materials. The system uses advanced technologies such as Langchain, Pinecone, and the LLM Model to provide personalized, real-time feedback and support. The study compared two groups of students: one with access to Campus+ and one without. The results showed that the AI-driven platform significantly improved student engagement, understanding, and academic performance. The platform was found to be highly effective in enhancing the learning experience, with 84% of students reporting it as moderately or highly effective. The study also highlights the potential of AI in personalized learning, emphasizing the need for continuous innovation to improve its effectiveness. However, the study also notes limitations, including the focus on Bloom's taxonomy Level 1 and the platform's current inability to handle complex graphical and mathematical content. The research underscores the importance of ethical considerations and the potential for AI to both enhance and perpetuate educational disparities. Overall, the study supports the potential of AI-driven personalized learning in higher education and calls for further research to address its limitations and expand its applications.This study explores the impact of an AI-driven personalized learning platform, Campus+, on the academic achievement and learning experience of students at Mohammed VI Polytechnic University. The platform, designed for mobile devices, allows instructors to upload course materials and enables students to interact with an AI mentor through a chat interface integrated into their course materials. The system uses advanced technologies such as Langchain, Pinecone, and the LLM Model to provide personalized, real-time feedback and support. The study compared two groups of students: one with access to Campus+ and one without. The results showed that the AI-driven platform significantly improved student engagement, understanding, and academic performance. The platform was found to be highly effective in enhancing the learning experience, with 84% of students reporting it as moderately or highly effective. The study also highlights the potential of AI in personalized learning, emphasizing the need for continuous innovation to improve its effectiveness. However, the study also notes limitations, including the focus on Bloom's taxonomy Level 1 and the platform's current inability to handle complex graphical and mathematical content. The research underscores the importance of ethical considerations and the potential for AI to both enhance and perpetuate educational disparities. Overall, the study supports the potential of AI-driven personalized learning in higher education and calls for further research to address its limitations and expand its applications.