Case study

Language learning web and mobile apps with NLP and ML

Stack

JavaScript, Swift, Java, Cassandra, Hadoop, Lucene, SQLite

DURATION

5 months

TEAM SIZE

2 Full-Stack Engineers

The problem:

Education should have no limits. That’s why we worked on the migration of a desktop application into a web platform, letting the users access the service without needing to download the app. No more having to worry about compatibility or system requirements! And to help users learn more, wherever they are, whenever they want, we created native mobile applications that run on iOS and Android.

Key features:

Web app for language learning

IOS and Android with an offline learning experience and online sync

ECommerce website for consumer and business subscribers

Backend on Java using Apache Lucerne

Intelligent NLP algorithm, data mining, machine learning, corpus statistic and semantic analysis

Automatic corrective feedback enables students to learn from their own mistake and better memorize vocabulary

Suggestions for correct usage, timing, smart constructions

Many interactive ways of learning and memorising words and phrases

Solution:

With features such as offline learning, and syncing data online, students won’t have to stop their learning if there’s no Internet connection available, and they can easily switch between devices to continue their studies in the platform that’s more convenient for them. Also, thanks to our interactive platform, students can learn languages in an interesting and eye-catching way, incentivizing them to keep moving forward on their learning path. Students now can receive automatic and instantaneous feedback, helping them learn from their mistakes without the need of a tutor supervising them at every moment!