Disease Diagnosis

Inspiration

Healthcare is very expensive for students and people who can't afford them. Healthcare is also time-consuming. Our ML Algorithm, combined with the website will make this process efficient and cheap.

What it does

It predicts Disease based on Symptoms using advanced ML.

How we built it

We built ML Model using Python and Flask. We build a website using ReactJS

Challenges we ran into

The Dataset is limited, due to which we had less no of diagnosable diseases.

Accomplishments that we're proud of

We got an accuracy of more than 90%.

What we learned

We learned ML and React

What's next for Disease Diagnosis

We need to generate more data. The Application is scalable

Built With

• machine-learning
• python
• react
• rest
• scikit-learn