COUGH SAMPLE DETECTION AND DISEASE IDENTIFICATION USING AI

COUGH SAMPLE DETECTION AND DISEASE IDENTIFICATION USING AI

Harshitha M1, Abhivarsha2 , Achal K Athreya3 ,Jnana Y T4 , Daneshwari Halbavi5

Professor, Department of  Information Science & Engineering 1

B.E Students , Department of Information Science & Engineering 2,3,4,5

Vidya Vikas Institute of Engineering & Technology, Mysore, India

Abstract

For many illnesses, the most prevalent symptom is a cough. Diseases of the respiratory system complicate human existence. Coughs can be of numerous varieties. The diseases that cause cough symptoms can be identified by determining the type of cough. AI technologies are necessary for diagnosing illnesses. A promising technology that helps with data analysis and outcome prediction and ultimately ensures people's well-being is artificial intelligence (AI). We can say that AI algorithms can identify and locate several known diseases, such as pneumonia, pulmonary edoema, asthma, TB, COVID19, and other respiratory diseases, using cough symptoms. This work offers new opportunities, challenges, and methods for identifying respiratory illnesses through the use of various techniques and algorithms, additionally for creating  and developing more effective treatments.