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real-time

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A Flask-based web app to monitor water-borne disease outbreaks during Punjab’s 2025 floods, featuring community symptom reporting, PyTorch-based outbreak prediction, mock health/water APIs, a multilingual chatbot (English, Hindi, Punjabi) , and a rapid-response dashboard for districts like Ferozepur, deployed on Render.

  • Updated Oct 5, 2025
  • HTML

This project is a modern, real-time chat application designed for reliability and scalability. It uses SockJS and STOMP.js on the frontend to ensure seamless WebSocket communication, falling back gracefully if native WebSockets are unavailable. The backend is developed with Java Spring Boot.

  • Updated Aug 25, 2025
  • HTML

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