Abstract
The analysis of real-time medical data is a transformative approach that combines machine learning, natural language processing, and web scraping technologies to offer timely, accurate, and relevant information for healthcare decision-making. This paper presents a system that, when given a medical keyword as input, system retrieves the top Google links, assesses the content for accuracy, and organizes the data into a structured way. The system also summarizes the information into concise, digestible points for quick reference. This work provides healthcare professionals, researchers, and policymakers with a powerful tool for retrieving, analyzing, and synthesizing real-time online medical data.
Published Version
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