DiseaseDiagnoser

• 

  symptom extractor

• 

  friendly program

• 

  model trainer

• 

  unsafe executor

• 

  dataset loader

Planning

I wanted an application where people could get their diagnosis on the spot

What it does

The model diagnoses diseases by analyzing the user's symptoms, age, gender, blood type, and optional oxygen saturation.

How I built it

I used a dataset from Kaggle to train a model, then made another program to ask the user for their input and then use the model to evaluate and diagnose the user.

Challenges I ran into

Setting up the model with packages and dependencies were really annoying for some reason

Accomplishments that I'm proud of

I managed to make the project user-friendly, maybe except for the technical aspects of the symptoms that the program asks for

What I learned

The hardest part about developing an AI model is the setup.

Built With

• kaggle
• python