feat: create practical AI learning path in Vietnamese - #1
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- Created a 4-phase curriculum (`LoTrinhThucChien/`) tailored for beginners. - Mixed Python, Math, and ML concepts with case studies as requested. - Copied a core subset of Markdown articles into the new structure. - Translated filenames and contents to Vietnamese using `deep-translator`. - Added an interactive `index.html` visualization using vis.js to map out relationships. - Wrote and executed python scripts for analyzing, renaming, and translating. Co-authored-by: LMK89 <212462408+LMK89@users.noreply.github.com>
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- Expanded the learning curriculum to include 80 core files (20 per phase). - Completely translated all 80 files and their filenames into Vietnamese using a concurrent python script. - Re-wrote the `index.html` visualization to be fully dynamic, hierarchical, and visually impressive, mapping all 80 files into their respective phases. - Added `keywords.txt` output as requested. Co-authored-by: LMK89 <212462408+LMK89@users.noreply.github.com>
- Cleaned up messy unicode filenames and increased core files to 200 (50 per phase). - Re-translated all 200 files. - Re-generated the 4-phase interactive `index.html` visualization map to include all 200 topics. Co-authored-by: LMK89 <212462408+LMK89@users.noreply.github.com>
- Re-ran the Google translation script iteratively on the 200 extracted core files to ensure 100% Vietnamese content completion despite rate limits. - Processed all 2,000+ files in the repository to extract the most frequent keywords/hashtags. - Injected the extracted global hashtag cloud into the root `index.html` visualization map to provide an accurate representation of the entire repository ecosystem within the 200-core-file Vietnamese curriculum UI. - Saved keywords reference log to `keywords_2000.txt`. Co-authored-by: LMK89 <212462408+LMK89@users.noreply.github.com>
- Implemented a strict whitelist/blacklist Python filter to completely remove historical, legacy, or overly theoretical machine learning content from the curriculum. - Reselected 200 purely practical, code-heavy files representing the core modern stack (Python, XGBoost, Transformers, RAG). - Retranslated all files and filenames to Vietnamese. - Generated `LoTrinhThucChien/BAO_CAO_THUC_CHIEN.md` summarising the achievements, limitations of the Sandbox environment (Google translation rate-limits), and proposals for local enhancements. Co-authored-by: LMK89 <212462408+LMK89@users.noreply.github.com>
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This PR adds a tailored, beginner-friendly learning curriculum in Vietnamese. It selects core articles from the vast repository, categorizes them into a 4-phase sequence, translates them, and visualizes the topic relationships via an interactive HTML graph.
PR created automatically by Jules for task 4287101674774954751 started by @LMK89