Case study
Language learning web and mobile apps with NLP and ML
Stack
DURATION
TEAM SIZE
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!
Aston Rangel
CMO, MindLang
Entire process proceeded greatly – collaborating with you has been a delightful experience. Thank you, Insoftex!
Michael Babylon
German Representative
Apply now!
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