The Development and Implementation of Deep Learning-Based Pneumonia Detection

The most common cause of death worldwide is pneumonia. It affects 7% of the planet's population &, on average, results in the deaths of 700, 000 children annually. Using X-rays as the primary diagnostic tool, this disease is identified. Using principles of Transfer Learning & Image Augmentation, we have developed a wholly original image processing-based Deep Learning technique to identify respiratory problems. With a memory score of 97.44% and also a precision score of 96.00%, we were generally prepared to succeed. In this program, the patient must attach a chest X-ray that's been acquired by the laboratory. The computer will then examine the report for errors and, if any are found, will alert the patient that something is wrong with their health. Additionally, the system will display the message "Healthy" if indeed the report has no issues. By adopting this technique, the patient can avoid spending more money to see a doctor if they are not experiencing any pneumonia-related issues. Additionally, patients may save money in this way.