Eu flag

E-learning application to master math



Matflix – an e-learning B2C application that helps students to master math
Scope of work
UX/UI, Business Needs Analysis, Technical Architecture, Software Development, Mobile App
Node.js, React.js, React Native, AWS, TypeScript, Nest, Elasticsearch, Google OCR API, Maria DB, Google Cloud

Help students to master math

The idea for the application was born in a teacher’s head. He had noticed one major problem with math education and wanted to help kids. Namely, there are many tasks in textbooks to solve but students are left with the desired outcome only. Thus, they struggle to achieve the result, having no idea how to do it exactly and why so.

Knowing that, he came with an idea to build an application that shows students how to solve mathematical problems – explaining each task and revealing how it should be done step by step. As a result, they can not only solve tasks correctly but most importantly finally understand maths.

We’ve built the startup’s MVP which, with practically no marketing budget, has been downloaded 156,000 times and acquired PLN 1.7 million to develop the e-learning platform further.

Are you ready to take your business to the next level?

Discover how AI solutions can benefit your company. Schedule a free consultation with us today!
NeuroSYS is trusted by

In a nutshell

  • A mobile app (iOS, Android) for students to master maths – for primary and secondary schools.
  • Scan ISBN to add the textbooks in use.
  • Task recognition mechanism (OCR) – just take a picture, no need to enter anything manually.
  • A web app (dashboard) for administrators to manage textbooks and add new math tasks.

Mobile app structure

The system consists of two modules – one of them is devoted to administrators (adding textbooks, particular math tasks, and solutions to the database) and the other one to students (browse books, scan ISBN, scan tasks, see the solutions). The mobile app can be downloaded free from App Store and Google Play.

Math application
app downloads
registered users
resolved tasks
1.7 milion