Implementation of ML in the Field of Medical.

Inspiration

My grandmother had died due to Throat Cancer. The cancer wasn't diagnosed and recognised in an early stage which lead to severity of the disease. So this is our inspiration for choosing the problem, we don't want an other one to loose their life like my grandmother due to lack of proper diagnosis.

What it does

It predicts the disease in an early stage by taking the symptoms as input.

How we built it

By importing CSV file into DataFrame by using Numpy and Pandas. By using SKLearn module, we did the Data Preprocessing, train_test_split to predict the DISEASE by its symptoms.

Challenges we ran into

As we are in our 2nd year and we are not yet introduced to the concepts of Data Cleaning, ML training models etc.. there is slight confusion in the code running related to these topics especially when errors like Type error, Value error etc..

Accomplishments that we're proud of

We consider participating in this hackathon is our first accomplishment, then understanding the problems, coding the solutions and finally getting the most accurate results.

What we learned

We got to know how a hackathon will take place, we learned the concept of data set, data cleaning, stages in cleaning, training the ML model, Test cases and how to get accurate results.