Sic (Disease predictor)

To help people all around the world with their medical needs: Sic, we really do the trick.

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Inspiration

There are people all over the world dying of diseases. Many of these diseases could be cured if people just knew what disease they actually had. Due to poverty and issues with governments, not everyone gets the luxury of proper healthcare. I realized this and decided to do something about it.

What it does

My application takes human input about symptoms and predicts what disease that person might have.

How we built it

I used python as the main language. I also used a database for the actual information. I used naive bayes classification to predict the disease.

The libraries I used are listed here:

from mpl_toolkits.mplot3d import Axes3D from sklearn.preprocessing import StandardScaler import matplotlib.pyplot as plt from tkinter import * import numpy as np import pandas as pd import os from tkinter import messagebox

Challenges we ran into

At first, I had no idea how to use naive bayes, but after a few youtube tutorials I finally figured it out! Here is a great explanation: https://www.youtube.com/watch?v=O2L2Uv9pdDA

Accomplishments that we're proud of

I am proud of myself for actually relearning how to use tkinter because the last time I used it was in 7th grade.

What we learned

I learned how to use tkinter, naive bayes (kinda), and refreshed my knowledge of sql and databases.

What's next for Disease Predictor

I might redo the gui to make it look a little nicer. I will also try to find a larger dataset so I can have a more accurate prediction.

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