EduSignal — District Root-Cause Intelligence

EduSignal is an AI-powered education intelligence platform built to close the learning outcome gap across districts in India. The platform ingests evidence from news sources, government portals, NGO reports, teacher vacancy databases, community forums, and grievance portals using a real-time scraping pipeline powered by Bright Data. Every piece of evidence is classified by Gemini 2.5 Pro via AIMLAPI as Supporting, Contradicting, or Irrelevant to a root cause hypothesis. Districts are then clustered into six root cause categories — teacher shortage, seasonal migration, language barriers, infrastructure gaps, pedagogical failure, and noise — using HDBSCAN with UMAP dimensionality reduction and a RandomForest classifier with SHAP explainability. District education officers and policy analysts can explore an interactive map of India, drill into district-level evidence and feature breakdowns, compare peer districts, track live intervention effectiveness, monitor pipeline telemetry in real time via Server-Sent Events, and query an AI analyst backed by Gemini 2.5 Pro for contextual recommendations. The platform is fully production deployed — React 18 frontend on Vercel, FastAPI and Celery backend on Azure Container Apps, PostgreSQL with pgvector on Neon, and Redis on Upstash for task queuing and real-time event streaming. EduSignal turns fragmented, unstructured web data into a structured, explainable, and actionable intelligence layer for one of India's most critical public policy challenges.