Detalhes bibliográficos
| Resumo: | 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. |
|---|
| Autores principais: | Eleuterio, Davi Silva |
|---|
| Outros Autores: | personOliveira, Pedro Filipe; Matos, Paulo; Alves, Jorge Manuel Afonso; personAlves, Jorge |
|---|
| Assunto: | Chatbot Financial literacy LLM RAG Web scraper |
|---|
| Ano: | 2025 |
|---|
| País: | Portugal |
|---|
| Tipo de documento: | comunicação em conferência |
|---|
| Tipo de acesso: | acesso aberto |
|---|
| Instituição associada: | Universidade Politécnica de Bragança |
|---|
| Idioma: | inglês |
|---|
| Origem: | Biblioteca Digital da UPB |
|---|