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headwarn's Introduction

HeadWarn: ImplementAI-2019

person

A mobile application that analyzes if you are tired, drunk or high before driving. Visit our wiki for more useful information.

To start the mobile app, just run:

cd client && npm start

Then, plug connect with the Expo Client on your phone.

To run the backend, run:

cd backend && npm start

We used ngrok to publish our URL.

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headwarn's Issues

Investigate Wrnch

Let`s investigate the API for the company we are using for the Hackathon. We must understand how the JSON results are displayed and understand the meaning of the values inside.

Picture Timer

After discussing the main points, this story could be an additional feature. It would be useful for the user to set a timer so that the app takes a picture of his face to see if he can still drive or not.

Backend: Analyze

We must have a threshold (config file) of analyzed tired/drunk/high people to based our analyze off.

The backend should analyze.

Notes:

  • Remove -ve values from joint array
  • Separate into x coordinates and y coordinates
  • Flip y values
  • Map indices array to the right face part
  • Analyze and see with other models if

Picture Logs

It could be nice if we could have a button on the app that fetches all the pictures taken from the user.
It could go to the left of the main button on the camera.

UI Interface with Camera

As soon as the app launches, we:

  • Display the camera

  • Have a button below to take a picture

  • React-Native

Beautify the Mobile App

Beautify the React-Native app by doing:

  • Better button
  • Better splash screen
  • Adding logo to the launching screen
  • Changing navigation

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