This work presents an AI-driven chatbot system aimed at improving access to university scholarship information for students, parents, and academic administrators. The system is designed to answer user queries, deliver structured scholarship details, and retrieve up-to-date information when required. The chatbot employs machine learning techniques together with natural language processing to generate reliable and actionable responses. This enables students and their parents to more efficiently understand scholarship requirements, eligibility conditions, and application deadlines. The proposed system architecture consists of several key components, including data acquisition from official university sources and scholarship portals, mechanisms for real-time information retrieval, and structured data management to support efficient querying. Particular emphasis is placed on usability, reliability, and system adaptability. Beyond student support, the system incorporates features that enable administrators to monitor performance and iteratively enhance response quality. While the current implementation targets universities in Kuwait, the underlying approach is general and can be adapted to other academic institutions or geographic contexts. Overall, by combining automation with a user-centered design, the proposed solution provides a practical tool for scholarship discovery and offers a transferable framework for similar digital services in higher education.