An AI-Driven Framework for Disease Outbreak Tracking, Prediction, and Health Assessment

Tracking disease outbreaks has become one of the most important tasks in protecting public health and ensuring a quick, effective response to epidemics. With the growing availability of data from multiple sources- including health records, climate data, mobility trends, and even social media - there is a huge opportunity to use Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS) to better understand and predict disease spread. This paper introduces an AI-powered disease outbreak tracking system designed to collect, clean, and visualize data while using machine learning models to forecast future cases and identify unusual patterns in the spread of infections. A health analysing chat boat is also incorporated here to understand the health condition.