Dise

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Inspiration

During Covid-19 people have not been taking their yearly checkups, this is when I realized that I could make an website where users can have a checkup for any diseases.

What it does

Dise is a platform where users can explain there symptoms and using the machine learning, the website will predict the top ten disease the user may face.

How we built it

The frontend of the website is made using React and the backend is using NodeJS. I have used Tensorflow.js to create the prediction model for the disease prediction. The frontend is also styled using the react bootstrap.

Challenges we ran into

Creating the Tensorflow.js model was very complicated, the hardest part of the development was getting the correct outputs from the inputs given to the model. At start I used a large dataset, but soon realized that I needed to change my dataset to a smaller one in order to get good predictions.

Accomplishments that we're proud of

I made proud of my Tensorflow.js model and my backend NodeJS server. By using express I was able to create a well professional backend.

What we learned

Though the course of development this project I learned more about machine learning and using Tensorflow.js .

What's next for Dise

Next for Dise would be training the model with more dataset to get a more variety in the disease and more accurate predictions for users.

Built With

• express.js
• node.js
• react
• tensorflow.js