The problem Dr. Health solves

Accurately identifying diseases before they develop hence improving our patients' access to early treatment. This will help in upkeeping a high standard of medical care. This will save our consumers time and reduce hospital-acquired infections (HAI). If we can detect these dangerous infections early, we can reduce the mortality and morbidity associated with them.

Challenges we ran into

1. Finding appropiate datasets to solve this problem, we use public data sets available on kaggle.
2. Increasing accuracy of the models used: For the same we use different parameters like visualisation, increasing the number of training examples, added more variables and implemented better feature processing.