• Maturu Tejeswar Reddy
• Konda Mohan Reddy
• T.Sam Pradeep
• Maddineni Sai Varun
• Chirumamila Bala Sasank

In this modern world although we have advanced in every domain, still we have problems to face in the medical field, hazardous diseases are very hard to cure, pre-medication will be the biggest assert in these cases, but to do the pre-medication we need to get the diagnosis faster and accurate, it is not possible with the traditional methods. They take a lot of time for the diagnosis as after the process of biopsy and lab work, we have to take multiple opinions from the doctors. As the opinions vary form person to person based on there experience, there might be a lump of mistakes that can be done, so for diseases like pneumonia we tend to use and create new CNN models like VGG-16, Resnet 50, Alex-net, Densenet 121, Densenet 169 and custom models using Transfer learning and building a web application for ease of use of this project to everyone, then this project will be very easy to use and the task is to simply upload the images to the website and to gain the pneumonia percentage, provided its results to the one help in need.

Keras, Tensorflow, Transfer learning, CNN

"Pneumonous The Pneumonia Detector on Chest x- Ray Images using DenseNet169, Transfer Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o1-o7, April-2024, Available :http://www.jetir.org/papers/JETIR2404F01.pdf

"Pneumonous The Pneumonia Detector on Chest x- Ray Images using DenseNet169, Transfer Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo1-o7, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F01.pdf