Despite tremendous recent interest, the application of deep learning in microbiology has still
not reached its full potential. To tackle the challenges faced by human-operated microscopy,
deep-learning-based methods have been proposed for microscopic image analysis of a wide
range of microorganisms, including viruses, bacteria, fungi, and parasites. We believe that
deep-learning technology-based systems will be on the front line of monitoring and
investigation of microorganisms. Hence, here we are proposing a model that which can classify
and detects the type of organism using the CNN based transfer learning algorithm of deep
learning. Once after the detection of the organism, the spread of diseases are also predicted
from the detected output.