  In today's world,the risk of emerging and re-emerging epidemics have
increased.The recent advancement in healthcare technology has made it possible
to predict an epidemic outbreak in a region.Early prediction of an epidemic
outbreak greatly helps the authorities to be prepared with the necessary
medications and logistics required to keep things in control. In this article,
we try to predict the epidemic outbreak (influenza, hepatitis and malaria) for
the state of New York, USA using machine and deep learning algorithms, and a
portal has been created for the same which can alert the authorities and health
care organizations of the region in case of an outbreak. The algorithm takes
historical data to predict the possible number of cases for 5 weeks into the
future. Non-clinical factors like google search trends,social media data and
weather data have also been used to predict the probability of an outbreak.
