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AI-powered research aggregation system used by World Health Organization (WHO) Geneva. Automatically scrapes, analyzes, and summarizes articles from top medical journals (The Lancet, BMJ, etc.) into executive briefings for global health decision-makers

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AI-Powered Research Summarization for WHO

🌍 Overview

An enterprise-grade automated system deployed at World Health Organization (WHO) Geneva that automates the monitoring and summarization of global medical research. Transforms complex academic articles into actionable executive briefings for public health leadership. Combines the technical finesse with easy-to-use started without needing the user to install anything.

πŸ—οΈ Technical Architecture

  • Non-Technical audience: Created in Native Excel VBA, checks for selenium, chrome driver and other needed prerequisite without asking user for any changes.
  • 12 Different Journals: Creates the output using the highest quality journals avialable for research and benchmarking purposes.
  • Data Collection: Automated scraping of 10+ top medical journals
  • Quality Control: Multi-stage validation ensuring accuracy
  • Output Generation: Structured PowerPoint reports with key insights
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🎯 Impact

  • Used by WHO Geneva for daily research monitoring
  • Reduces review time from hours to minutes per article
  • Supports evidence-based policy at global health level
  • Enterprise-scale deployment in international organization

πŸ”§ Technical Stack

  • Python, BeautifulSoup/Selenium, VBA, PowerPoint automation

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AI-powered research aggregation system used by World Health Organization (WHO) Geneva. Automatically scrapes, analyzes, and summarizes articles from top medical journals (The Lancet, BMJ, etc.) into executive briefings for global health decision-makers

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