Generative AI-based application for medical diagnosis

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dc.contributor.authorKettouche ,Rami
dc.contributor.authorLahsasna ,adel
dc.contributor.authorBoulnemour ,Imene
dc.date.accessioned2025-11-05T09:00:17Z
dc.date.available2025-11-05T09:00:17Z
dc.date.issued2025
dc.description.abstractThis thesis explores the design and development of Sahaty, an AI-powered medical chatbot built using Generative Pre-trained Transformer (GPT) models. The project addresses the need for accessible, reliable, and preliminary medical information in the Algerian healthcare context. Leveraging Natural Language Processing (NLP) and deep learning, Sahaty is fine-tuned on specialized medical data to deliver accurate, context-aware responses to users' health-related inquiries. The thesis details the challenges of adapting large language models to the healthcare domain, particularly within a culturally specific environment, and presents a full pipeline from data preparation to Android app integration. Results indicate that Sahaty has the potential to improve healthcare accessibility, reduce the burden on medical personnel, and offer a scalable solution for preliminary diagnosis in underserved regions.
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/5320
dc.language.isoenglich
dc.publisherFaculty of Science
dc.titleGenerative AI-based application for medical diagnosis
dc.title.alternativeArtificial Intelligence
dc.typeMasters degree thesis
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