Authors - Christopher Agbonkhese, Omobola Gambo, Teslim Akande, Ishaya Gambo, Adebowale Adewuyi Abstract - This paper presents the design and development of a mobile application that serves as an AI-powered study assistant to support personalized learning and academic management. The app helps students create study plans, practice questions, track their progress, and receive feedback based on their unique learning styles and academic goals. The system uses a client-server architecture, making it scalable and efficient. It also includes useful features such as a scheduler, reminders, progress tracking, and integration with Google Calendar. Gamification elements are used to make studying more interactive and enjoyable for students. For the intelligent part of the system, we used TensorFlow and Scikit-learn libraries. These tools help the app understand each student’s learning patterns and recommend personalized study content. This way, each user gets a learning experience that fits their specific needs. In order to evaluate the system, we con-ducted user testing and analyzed student performance before and after using the app. We looked at metrics like academic improvement, task completion rates, and user satisfaction. The results showed that students became more focused, better at managing time, and more confident in their studies. Compared to existing apps like QANDA and SmartPal, our solution offers a more complete and personalized approach to learning. It combines AI, good design, and useful features to create a powerful tool for modern students
