Inspiration
Sometimes the only way you can communicate with your doctor is when you go for a doctors visit. There you tell your doctor what youve been feeling and what has been wrong doctors then have to take notes while talking to you.
What if there was a way to give your doctor daily snapchats of how you are feeling.
We decided to make a product that lets you update a journal of how you feel every day so that we can gain insights of how your health has been progressing and where it will be going. If a doctor can see how youa re feeling for the past few days they can get a better picture of how you are developing.
We also realized that if a doctor meets with a non english speaker there must be a translator to facilitate the doctors visit. If we automate a translation system through the application that users and doctors can use we will allow access to better medical service for non english speakers.
What it does
This app allows patients to give their physicians updates on how they are feeling / provide metrics for a day. We upload this information to Oracle Cloud to compute a simple regression to see trends in the patients' health to predict if they may develop a disease in the future.
We also have a chat feature so that patients can talk and give updates to their doctors. We added Houndify to this chat so that if someone not comfortable typing like the elderly or people who cannot use technology very well can use the voice to speech to speak and message their doctor.
We also realized that most doctors only speak english. We decided to combat this by allowing the application to automatically translate speech/text to english and the patients can choose what language they want to see.
This allows users to communicate with their doctors in an easy and effective platform so that doctors can learn more about heir patients.
How I built it
We used Android for the front end product in Java and XML
We used a python flask app on an oracle cloud instance to handle requests and aggregate the data. The server responds with the insights for a specific user as well as any notes the doctor left for the user.
The chat uses the Houndify API for VoiceToText. The translation to english was done with Google Translate API.
Whats next
Right now we just have regression for heart rate to detect who is in danger of heart disease but we also wnat to incorporate other metrics to detect other diseases that may be predicted
We also want to use the other fields users input to use sentiment detection to see how patients' mental health is changing through out time
These metrics can be very valuable to give doctors insights they ay not have because currently they cannot ask every one of their patients what they feel like very single day
Built With
- houndify
- java
- oraclecloud
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