Published Paper Details:

The important objective of this system is to provide an accurate prediction of disease like Pneumonia, Fungal Infection, AIDS, Migraine, Jaundice, Common Cold, Heart Attack, Acne, COVID-19, etc. This system will also give the regular check-up report of the user. As the doctor may not be available always when needed, but in the modern time scenario, according to necessity one can always use this prediction and regular check-up system anytime. The healthcare industry produces large amounts of healthcare data daily that can be used to extract information for predicting disease that can happen to a user in future while using the treatment history and health data. The symptoms of the individual along with the current images of them are given to the ML and DL model to further process. After preliminary processing of the data collected, the ML model uses the current input, trains and tests the algorithm resulting in the predicted disease. The current images are taken for the regular health care check-up and here the user is not expected to give the symptoms because the regular check-up will be purely based on the current scenario of the user. The inputs are then used by the ML model which trains and tests with the algorithm resulting in the health check-up graph.