HSKme is a Digital Humanities project designed to assist students preparing for the HSK (汉语水平考试 Hànyǔ Shuǐpíng Kǎoshì), the official Chinese language proficiency exam. The project focuses on building a learning platform based on corpus frequency data to support vocabulary acquisition effectively.
I began by creating structured JSON files containing vocabulary lists for different HSK levels. A simple website was developed to display these lists dynamically in a single field, allowing users to interact with the words and select correct answers. A basic registration form was added to collect user information; it is currently a prototype and does not yet implement security measures such as hashing or salting.
The project is published through GitHub Pages and is accessible via the domain hskme.com. The source code is available on GitHub. At this stage, the content is primarily in Russian, catering to my current student base, but an English version is planned for release.
Although the platform is still in its early stages, the long-term goal is to create an open, scalable, and flexible tool for HSK vocabulary learning, with future enhancements such as personalized exercises and browser-based educational games under an MIT license.