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AI-based Disease Outbreak Prediction System

HACKSAGON_FINAL

AI-Based Early Disease Outbreak Prediction System

AI-based crop disease outbreak prediction and detection system using weather data and computer vision.

AI & ML-based Disease Outbreak Prediction System that helps predict possible outbreaks using historical health data and machine learning algorithms.

AI-based disease outbreak prediction uses artificial intelligence to analyze data such as historical disease trends, environmental factors, and population movements to forecast potential outbreaks. These systems provide early warnings, real-time monitoring, and insights to help healthcare officials prevent or contain diseases.

Developed an Agentic AI-based medical diagnosis and outbreak prediction system that uses NLP and machine learning to analyze symptoms, predict possible diseases, and detect regional outbreak trends. Built REST APIs using Spring Boot and implemented predictive models with Python (Scikit-learn) to enable real-time health risk assessment.

HostelGuard AI is a smart full-stack campus management system for safe, sustainable hostels. It uses ML (Random Forest) for food waste prediction, Generative AI for menu planning, NLP for complaint prioritization, CV-based attendance, and a real-time disease outbreak heatmap.

Health_Connect is a geospatial surveillance ecosystem using PHP and MySQL for live disease tracking. It features a seamless shared-vertex mesh map with role-based access for PHCs and HAs. The system integrates AI outbreak prediction and tactical notification popups.