VBDeepSeek has two special features: memory aid image generation and vocabulary article generation.
VBDeepSeek breaks through the limitations of traditional vocabulary tools by integrating two innovative features: visualization and knowledge organization:
1. Helpful Image Generation: By calling the API interface, the system can transform abstract words into visual images. These images are stored in the result/cet4_imgs/ directory, using the naming rule {initial letter}/{word}.jpg. For example, 'abandon' generates the a/abandon.jpg image file, which helps learners to build visual associative memory.
2. Vocabulary Article Generation: The tool automatically typesets the vocabulary information into ready-to-use Markdown-formatted articles, which are saved in the results/cet4_articles/ directory. Each article corresponds to a one-letter vocabulary word and contains standard YAML header information (e.g., title, date, etc.) and structured content presentation.
These two functions form a complete learning closed loop: pictures to strengthen memory → example sentences to deepen understanding → articles to integrate knowledge. Users can either use the generated resources directly for exam preparation or import them into Notion and other note-taking software as materials for secondary editing, which greatly enhances the flexibility and efficiency of learning.
This answer comes from the articleVBDeepSeek: an open source tool for generating grade 4 word study materials using DeepSeekThe































