Hackday Hackathon Project (winner of the first prize)
Pitch
An assitive technology which harnesses the power of machine learning to accurately predict the existence of a heart disease in a patient and thereby letting doctors anticipate any forecoming ailments by also maintaining a record of all previous predictions.
Provides a means of communication between the Doctor and his Patients for any time consultancy
Notifies the doctor anytime the patient submits a report with a critical value for any parameter
Props go to:
Pratik and Harshal for their ML models
Rishikesh and Siddharth for the backend and frontend creation
About
A heart disease predictor application with additional features like contacting doctors, viewing report and report generation
