Pneumonia Detection using Deep Learning | Python Final Year IEEE Project 2023
Pneumonia Detection using Deep Learning | Python Final Year IEEE Project 2023.
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📌Project Title: Pneumonia Detection using Deep Learning.
💡Implementation Code: Python.
🚀Algorithm / Model Used: VGG16 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/.
IEEE Base paper Abstract:
Pneumonitis is a fatal disease that has an adverse effect on human respiratory system. It makes the air sacs of lungs inflammatory. It can happen due to viral or bacterial infections. It creates difficulty in breathing and causes pain. It can be severe and fatal if not treated at the earliest. So, the detection of pneumonia is needed as soon as possible. Hence the main objective of the project is to make a self-learning model whose training is done on multiple digital X-rays of chest to detect the pneumonia patients. This can help in the quick diagnosis of disease and give the treatment at the earliest. The model is trained on the ResNet and finetuned to give a good accuracy and prediction. The fine-tuned model can accurately classify the disease at 91% of accuracy.
REFERENCE:
Shreyas Mishra, Aniket Hazra, U.M. Prakash, “Pneumonia Detection using Deep Learning”, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE Conference, 2022.
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