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Título: KAORA: DIARY APPLICATION WITH LLM FOR PSYCHOLOGICAL SUPPORT THROUGH TEXTUAL RECORDS
Autor(es): JOSE LUCAS TEIXEIRA XAVIER
Colaborador(es): EDMUNDO BASTOS TORREAO - Orientador
Catalogação: 24/SET/2025 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=73226@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=73226@2
DOI: https://doi.org/10.17771/PUCRio.acad.73226
Resumo:
This project proposes the development of a digital diary application that leverages techniques based on Large Language Models (LLMs) to analyze emotions expressed in textual entries. The solution aims to support psychologists in the remote and continuous monitoring of their patients emotional states, providing a more detailed and frequent view of therapeutic progress. Developed as a Proof of Concept (POC), the initial focus is on implementing the back-end and integrating tools based on LLMs. The application offers a safe and confidential space for patients to record their emotions, promoting both self-awareness and professional support. It is not a platform for connecting patients with psychologists, but rather a complementary tool to be used by these professionals to enhance treatment.
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