AI System for Real-Time Detection of Pediatric ENT Health Trends on Social Media

Parents and caregivers increasingly turn to social media for pediatric ENT advice, where misinformation about conditions like ear infections and hearing loss spreads rapidly and without clinical oversight. This project builds a production-ready, open-source AI surveillance system that monitors Reddit, YouTube, TikTok, and Instagram in real time, classifies emerging trends as HARMFUL, CONCERNING, or SAFE using a 6-node LangGraph agentic pipeline grounded in live PubMed evidence retrieval, and surfaces results to clinicians through a Next.js dashboard with SSE alerts and email notifications for high-risk trends. A working 4-node prototype validated on live Reddit and YouTube data is already implemented. The GSoC deliverables extend this foundation with TikTok and Instagram collectors, ASSESS and REPORT nodes, a production Next.js dashboard replacing the existing Streamlit prototype, APScheduler end-to-end integration, Docker Compose deployment, and formal evaluation against a 300-post clinician-labeled reference set targeting precision > 0.85 on HARMFUL and F1 > 0.80 overall.