Author(s): Yash Kumar and Moayed Daneshyari

Abstract: The ability to quickly and accurately access academic information is essential for student success within modern universities. At California State University, East Bay (CSUEB), students often face significant challenges in retrieving timely information due to fragmented digital systems and dispersed communication channels. This capstone project introduces Pioneer Falcon, an AI-powered virtual assistant designed to centralize, streamline, and democratize access to university-related information. Built on a robust technological foundation that integrates Retrieval-Augmented Generation (RAG) and Prompt Tuning, the platform ensures responses are accurate, context-aware, and grounded in verifiable institutional data. Pioneer Falcon emphasizes human-centric design, incorporating multilingual support, mobile responsiveness, and accessibility features to serve the diverse CSUEB community, including international and non-traditional students. The methodological framework guiding development includes literature review, stakeholder analysis, iterative prototyping, and user-centered evaluation, ensuring the system is technically sound and aligned with user needs. Beyond providing accurate information retrieval, Pioneer Falcon enhances user experience by enabling natural language queries, reducing confusion caused by fragmented systems, and dynamically updating its knowledge base with the latest policies and deadlines. The broader vision extends to improving student retention, satisfaction, and institutional reputation while reducing administrative burden on faculty and staff. As a replicable model, Pioneer Falcon demonstrates how AI-driven solutions can transform information access across higher education environments, positioning CSUEB as a leader in educational innovation. Ultimately, the platform serves as both a technological advancement and a student empowerment tool, redefining how academic communities engage with information.

DOI: 10.33545/27076636.2025.v6.i2a.123

Pages: 137-150 | Views: 138 | Downloads: 58

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