Use este identificador para citar ou linkar para este item: https://repositorio.ufms.br/handle/123456789/12460
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dc.creatorMATHEUS TAVARES GUERSON-
dc.creatorRAFAEL EITARÓ OSHIRO-
dc.date.accessioned2025-08-20T12:02:56Z-
dc.date.available2025-08-20T12:02:56Z-
dc.date.issued2025pt_BR
dc.identifier.urihttps://repositorio.ufms.br/handle/123456789/12460-
dc.description.abstractThis paper presents MoneyMate, an open-source, AI-powered financial chatbot designed to streamline personal finance management through seamless integration with web and Telegram platforms. Leveraging advanced Large Language Models within instant messaging environments, MoneyMate enables intuitive, natural language interactions to deliver personalized financial insights and dynamic reports. The system architecture includes a React-based web dashboard, a Node.js back-end using Prisma ORM, and a PostgreSQL database, all deployed on scalable infrastructure to ensure high reliability and performance. This work contributes by demonstrating a practical integration of LLMs into everyday financial routines and offering a modular, open architecture that can be adapted to similar personal finance applications.-
dc.language.isopt_BRpt_BR
dc.publisherFundação Universidade Federal de Mato Grosso do Sulpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectChatBot-
dc.subjectLLM-
dc.subjectTelegram-
dc.subject.classificationEngenharia / Tecnologiapt_BR
dc.titleMoneyMate: Democratizing Financial Insights via an AI Chatbot on Messaging Platformspt_BR
dc.typeTrabalho de Conclusão de Cursopt_BR
dc.contributor.advisor1SAMUEL BENJOINO FERRAZ AQUINO-
dc.description.resumoChatbot de finanças com integração webpt_BR
dc.publisher.countrynullpt_BR
dc.publisher.initialsUFMSpt_BR
Aparece nas coleções:Ciência da Computação - Bacharelado (FACOM)

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