The problem Disease Prediction from Symptoms using ML solves

Disease prediction using patient treatment history and health data by applying machine-learning techniques is ongoing struggle for the past decades. The rapid adoption of electronic health records has created a wealth of new data about patients,
which is a goldmine for improving the understanding of human health.
The use case of this project is that if disease can be predicted then early treatment can be given to the patients which can reduce the risk of life and save life of patients and cost to get treatment of diseases can be reduced up to some extent by early recognition. Also this increase the efficiency of the doctor to better handle the patients.

Challenges we ran into

Finding a data set and preparing it properly.