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GutGaurd: IBS Medical Chatbot

Krimly, Ghayah
Khalefa, Nada
Albardawil, Sahar
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GutGuard is an intelligent web-based system designed to assist individuals with Irritable Bowel Syndrome (IBS) by providing them with personalized health guidance through the use of artificial intelligence. The core idea behind the project is to offer patients a reliable, easy-to-use digital assistant that helps them understand their medical reports, plan meals based on their condition, and monitor their symptoms over time. The system was developed using a layered architecture that integrates frontend interfaces, backend processing, medical document analysis, and AI-driven interaction. The chatbot is powered by the Mistral-7B [13] language model, which is hosted locally through the Ollama [13] framework. Users can upload their medical reports in PDF format, and the system processes these documents using Optical Character Recognition (OCR) to extract the text content. It then applies Medical Entity Recognition (MER) to identify important biomarkers, such as CBC results and metabolic indicators. The extracted information is cleaned, validated, and structured in a way that allows the language model to understand the context and generate relevant, medically informed responses
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