Health Cost Evaluation

• 

  The app

Inspiration

Me and my teammate were inspired by the presentation and the theme discussed in the beginning of the event, we wanted to help people and give them the transparency they need when it comes to medical bills.

What it does

Based on the prompts you fill out, the A.I. model will predict how much your medical bill will cost. The fields are the insurance you have and the reason you are at the hospital.

How we built it

We first trained our model based on a data set by Alex Steine on hospital bill transparency. The model was trained in python. Then we made a simple user interface using Java to talk with the trained file and create a reasonable and timely prediction.

Challenges we ran into

Training the model took a big of time (~hour) and using that with the Tensor Flow Java library was a pain, but we ended up getting it working.

Accomplishments that we're proud of

We learned a lot about finding the right data for our theme and how we can advance the lives of people with technology.

What we learned

TensorFlow is not made for Java!

What's next for Health Cost Evaluation

Implementing this into a mobile app would be awesome, we could reach more people via that.

Built With

• java
• kaggle
• python
• springboot
• tensorflow