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        <identifier>oai:drops-oai.dagstuhl.de:23687</identifier>
        <datestamp>2025-11-12T12:50:44Z</datestamp>
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          <dc:title>A Chatbot to Help Promoting Financial Literacy</dc:title>
          <dc:creator>Eleuterio, Davi Silva</dc:creator>
          <dc:creator>Oliveira, Pedro Filipe</dc:creator>
          <dc:creator>Matos, Paulo</dc:creator>
          <dc:creator>Alves, Jorge Manuel Afonso</dc:creator>
          <dc:subject>chatbot</dc:subject>
          <dc:subject>financial literacy</dc:subject>
          <dc:subject>web scraper</dc:subject>
          <dc:subject>LLM</dc:subject>
          <dc:subject>RAG</dc:subject>
          <dc:description>Currently, governments and many other institutions have been making significant efforts to promote financial literacy. However, a considerable portion of the population still lacks basic financial knowledge, highlighting the need for updated strategies to enhance financial education. In today’s digital world - where people often search for quick and convenient solutions - the development of a reliable and intelligent chatbot to answer questions related to financial concepts and decision-making can be very beneficial. This paper proposes the implementation of an automated web scraper to extract content from a trustworthy financial education website with plenty of useful concepts about finances, using this collected data to develop a chatbot which provides accurate and helpful responses to users. The solution is built using technologies such as Streamlit, Langchain, and OpenAI.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Davi Silva Eleuterio and Pedro Filipe Oliveira and Paulo Matos and Jorge Manuel Afonso Alves</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 135, 14th Symposium on Languages, Applications and Technologies (SLATE 2025)</dc:relation>
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          <dc:identifier>doi:10.4230/OASIcs.SLATE.2025.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-236870</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2025.7</dc:identifier>
          <dc:language>eng</dc:language>
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