Artificial intelligence (AI) is creating a new era in the field of medicine. The system which is available now is non
interactive, e.g., for anamnesis, and physicians use this in diagnosis for prediction purpose or prognosis. However, there is a
wide usage of these systems, e.g., in disease or cancer prediction. In here, The Artificial Intelligence System which we have
developed will interact using a text recognition and text synthesis system and the important thing is that it will interact with the
patients on its own for, e.g., rural areas requires this kind of system because of their low population density there will be no
primary medical care centers. Type 2 disease mellitus (T2DM) can be predicted by using deep neural networking techniques.
Any Time Medicine predictor (ATM) is a tool which conveys medicine related suggestions in crisis cases and guarantee services
24x7. This Anytime Medicine Predictor proposes a novel method that aims at finding significant features by applying Machine
Learning technique
