  Artificial intelligence (AI) and specifically machine learning is making
inroads into number of fields. Machine learning is replacing and/or
complementing humans in a certain type of domain to make systems perform tasks
more efficiently and independently. Healthcare is a worthy domain to merge with
AI and Machine learning to get things to work smoother and efficiently. The
X-ray based detection and classification of diseases related to chest is much
needed in this modern era due to the low number of quality radiologists. This
thesis focuses on the classification of Pneumonia and Tuberculosis two major
chest diseases from the chest X-rays. This system provides an opinion to the
user whether one is having a disease or not, thereby helping doctors and
medical staff to make a quick and informed decision about the presence of
disease. As compared to previous work our model can detect two types of
abnormality. Our model can detect whether X-ray is normal or having abnormality
which can be pneumonia and tuberculosis 92.97% accurately.
