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Orientador(es)
Resumo(s)
Addressing the critical gap in financial literacy requires scalable educational solutions that resonate with digital-native learners. This paper details an end-to-end system for delivering reliable financial education through an integrable conversational interface. Our architecture first uses a web scraper to automatically build a high-quality knowledge base from a trusted national portal. This curated data then grounds a Retrieval-Augmented Generation (RAG) conversational agent, a crucial step to ensure factual accuracy and mitigate Artificial Intelligence (AI) 'hallucinations.' The entire service is exposed via a high-performance Application Programming Interface (API), transforming the tool from a standalone application into a versatile service. This API-first design enables seamless integration into diverse educational ecosystems, such as university websites, learning management systems, and mobile apps, creating a trustworthy and scalable AI-powered educational platform.
Descrição
Palavras-chave
API Chatbot Financial-literacy RAG Web-scraping
Contexto Educativo
Citação
Eleuterio, D. S.; Oliveira, P. F.; Matos, P. (2025) Democratizing Financial Education: An API-Driven Platform Powered by Retrieval-Augmented Generation. In Proceedings of the 2025 17th International Conference on Education Technology and Computers (ICETC). Institute of Electrical and Electronics Engineers Inc. ISBN 979-833159791-7. p. 108-112
Editora
Institute of Electrical and Electronics Engineers Inc.
