Ethically Diagnosing Heart Disease Using AI

The Project

This project uses speech recognition and text recognition to ask a series of questions using text to speech. The patient will answer the questions orally, and the program will use speech recognition to recognize the text. Then, text recognition is used to interpret the text into simple variables, which will be saved in variables when the program starts. Also, patients have the option to view the information at the end of the survey, and a 3-point score is given for the diagnosis. All of this is coded in python language. There are 10 questions asked in the process of getting the patient's information, such as Job Stress, Angina (chest pain caused by blocked arteries), Abnormal SKin Coloring, etc. There are 2 questions in the end that ask if the patient wants to view his/her data and if the patient gives consent to use the data given in a dataset which will improve the AI's efficiency.

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