Inspiration

Our idea arose as a result of the recent coverage of the problem of dyslexia in Kazakhstan, where our team is from, in the local media. According to UNESCO, there are about 300 million people in the world suffering from various forms of dyslexia, or about 5% of the population. In addition, many countries collect their own statistics on the number of dyslexics, and in Kazakhstan, according to various estimates, about ~ 10% of people may have problems with speaking and writing. Methods for correcting dyslexia strongly depend on the language of a person with dyslexia, and therefore, despite this, the scientific basis for recommendations for correcting dyslexia is very small, and there are no official recommendations from our state at all. There is only one dyslexia center in the country in the capital, and people living in the regions do not have access to remedial measures. We are confident that this problem most likely exists in many developing countries due to insufficient funding for research on dyslexia in people speaking unpopular languages ​​in the world.

What it does

Ready is a mobile application that combines the recommendations of the field's specialists for the effective correction of dyslexia, dysgraphia, and dyscalculia. In the beginning, the user undergoes the diagnostic test, after which the application personalizes his training plan depending on his needs. You can also find a full list of all tasks in the application, with a variety of difficulty levels and student progress. On the calendar page, you can track progress by the number of completed tasks and on different sections for yourself or your child. In addition, if the exercise uses elements of augmented reality, the user can click on the special button and see the simulation in front of him.

How we built it

For creating our app, we used Figma for interactive prototyping, Android Studio (language - Java), and a manual algorithm for processing the diagnostic test (with further implementation, machine learning will be used). Apart from that, we used the echoAR service to make a prototype of the AR part of the app, with which the user can try out the tasks with 3D models.

Challenges we ran into

The biggest challenge for us was to combine the AR part, the algorithm, and the Android application itself. Currently, we are still working on connecting those parts together to make a full-fledged product.

Accomplishments that we're proud of

We have built an Android application prototype with our scarce knowledge of Java, which we are extremely proud of. Of course, in the future, it needs to have more features that we plan to add.

What we learned

In addition to our first-time experience building Android applications, it was our first time using the echoAR service, and with it, we have learned that AR-prototyping is not that hard for beginners.

What's next for Ready

The next milestones for our app:

  1. Finish the Android prototype, so it will have the main page for exercising, the calendar page, and the page for the user account and settings.
  2. Finish the database of all exercises and connect it with the app and the ML algorithm.
  3. Built the AR part of the app for certain exercises.
  4. Try it on the broader audience (200 users).
  5. Build the website.

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